# MiniMax M2.1 > Source: Benchize (https://benchize.com) — https://benchize.com/models/minimax-m2-1. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/minimax-m2-1. MiniMax Canonical URL: https://benchize.com/models/minimax-m2-1 Last updated: Wed, 21 Oct 2026 18:05:10 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. MiniMax ## Benchmarks | Benchmark | Score | ± | Rank | Cost | Latency | Source | | | --- | --- | --- | --- | --- | --- | --- | --- | | [CorpFin v2 / exact pages](https://benchize.com/benchmarks/vals-ai%3Acorp_fin_v2%3Aexact_pages.md) | 61.31% | SE ±1.66 pp | 20 / 39 | $0.00163 | 15.39source duration | [Vals AI · 2](https://www.vals.ai/_astro/benchmark_view_corp_fin_v2.CectKwl1.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 61.305 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001629 \| USD \| per_test \| Lower is better \| \| `latency` \| 15.39 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.66 pp sourcePopulation 134 stderr 1.663 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_corp_fin_v2.CectKwl1.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2 Observed 2026-10-21T16:45:57.998Z Evidence SHA-256 `7cf2217ab3728d5a84bffce82aab9fc52d7f810b0cbe8c65b387df47f3d31c9b` Source locator `/tasks/exact_pages/minimax~1MiniMax-M2.1` | | | | | | | | | [MGSM / mgsm de](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_de.md) | 93.6% | SE ±1.55 pp | 2 / 8 | $0.00111 | 11.74source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 93.6 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001109 \| USD \| per_test \| Lower is better \| \| `latency` \| 11.74 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.55 pp sourcePopulation 75 stderr 1.548 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_de/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / law](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Alaw.md) | 78.93% | SE ±1.23 pp | 12 / 40 | $0.00318 | 43.41source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 78.928 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.003182 \| USD \| per_test \| Lower is better \| \| `latency` \| 43.414 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.23 pp sourcePopulation 138 stderr 1.229 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/law/minimax~1MiniMax-M2.1` | | | | | | | | | [MedQA / white](https://benchize.com/benchmarks/vals-ai%3Amedqa%3Awhite.md) | 90.8% | SE ±0.65 pp | 5 / 12 | $0.00232 | 34.69source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.8 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.00232 \| USD \| per_test \| Lower is better \| \| `latency` \| 34.686 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.65 pp sourcePopulation 95 stderr 0.646 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:00.691Z Evidence SHA-256 `d67905978d932f64698ebe9e230d9519e5bae1c9d7176dda8379dc3874b6f90f` Source locator `/tasks/white/minimax~1MiniMax-M2.1` | | | | | | | | | [CaseLaw v2 / overall](https://benchize.com/benchmarks/vals-ai%3Acase_law_v2%3Aoverall.md) | 55.84% | SE ±0.47 pp | 12 / 17 | $0.00801 | 37.36source duration | [Vals AI · 2](https://www.vals.ai/_astro/benchmark_view_case_law_v2.DLKA06_7.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 55.842 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.008008 \| USD \| per_test \| Lower is better \| \| `latency` \| 37.357 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.47 pp sourcePopulation 54 stderr 0.467 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_case_law_v2.DLKA06_7.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2 Observed 2026-10-21T16:45:54.497Z Evidence SHA-256 `293f388f7e0fe563287d4cd19beaa7ef9821b32795dace34bd0197ed47a592d4` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [MGSM / mgsm ru](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_ru.md) | 93.2% | SE ±1.59 pp | 7 / 8 | $0.00126 | 13.1source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 93.2 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001262 \| USD \| per_test \| Lower is better \| \| `latency` \| 13.097 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.59 pp sourcePopulation 75 stderr 1.592 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_ru/minimax~1MiniMax-M2.1` | | | | | | | | | [LegalBench / rhetoric tasks](https://benchize.com/benchmarks/vals-ai%3Alegal_bench%3Arhetoric_tasks.md) | 71.81% | SE ±1.6 pp | 39 / 44 | $0.000605 | 7.22source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.806 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.000605 \| USD \| per_test \| Lower is better \| \| `latency` \| 7.218 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.6 pp sourcePopulation 151 stderr 1.597 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:45:53.390Z Evidence SHA-256 `c8486ba756baa5cd3955d035edff67440e8db23e69d62ad1a9e18d15b8c4bc52` Source locator `/tasks/rhetoric_tasks/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / biology](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Abiology.md) | 93.58% | SE ±0.92 pp | 16 / 40 | $0.0022 | 27.1source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 93.584 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.0022 \| USD \| per_test \| Lower is better \| \| `latency` \| 27.098 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.92 pp sourcePopulation 138 stderr 0.924 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/biology/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / psychology](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Apsychology.md) | 87.97% | SE ±1.16 pp | 15 / 40 | $0.00185 | 22.43source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.97 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001849 \| USD \| per_test \| Lower is better \| \| `latency` \| 22.426 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.16 pp sourcePopulation 138 stderr 1.157 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/psychology/minimax~1MiniMax-M2.1` | | | | | | | | | [Terminal-Bench 2.0 / hard](https://benchize.com/benchmarks/vals-ai%3Aterminal-bench-2%3Ahard.md) | 13.33% | SE ±6.31 pp | 14 / 23 | $0.21 | 2,320.14source duration | [Vals AI · 2.0](https://www.vals.ai/_astro/benchmark_view_terminal_bench_2.T48tPR4O.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 13.333 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.208768 \| USD \| per_test \| Lower is better \| \| `latency` \| 2320.142 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±6.31 pp sourcePopulation 67 stderr 6.312 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_terminal_bench_2.T48tPR4O.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2.0 Observed 2026-10-21T16:46:14.732Z Evidence SHA-256 `38e640d995259778e531f048b2f2c7b3b281cb05b56be643ddc9dc53eb85adf7` Source locator `/tasks/hard/minimax~1MiniMax-M2.1` | | | | | | | | | [DesignArena Overall frontend coding](https://benchize.com/benchmarks/designarena%3Acode.md) | 1,190elo | SE ±2.56 | 49 / 116 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=code) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1190 \| elo \| code \| Higher is better \| ### Configuration arenaType models category allcategories inputModality text sourceModelVersion minimax-m2.1 variationName public ### Reported statistics Uncertainty Standard error: ±2.56 averageGenerationTimeMs 120409 battles 20808 losses 9295 standardError 2.5595 winRate 55.3 wins 11513 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=code) Source designarena Original model label MiniMax M2.1 Source version public Observed 2026-10-21T16:37:57.301Z Evidence SHA-256 `0c897b58670f5e352bd123db999a40c0d1781a443964c502b90774a76a3a7758` Source locator `/data/79` | | | | | | | | | [MGSM / mgsm es](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_es.md) | 92% | SE ±1.72 pp | 5 / 8 | $0.00111 | 12.48source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 92 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001105 \| USD \| per_test \| Lower is better \| \| `latency` \| 12.475 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.72 pp sourcePopulation 75 stderr 1.716 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_es/minimax~1MiniMax-M2.1` | | | | | | | | | [TaxEval v2 / overall](https://benchize.com/benchmarks/vals-ai%3Atax_eval_v2%3Aoverall.md) | 66.35% | SE ±0.93 pp | 35 / 40 | $0.00914 | 113.26source duration | [Vals AI · 2](https://www.vals.ai/_astro/benchmark_view_tax_eval_v2.B3yoffr8.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 66.353 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.009137 \| USD \| per_test \| Lower is better \| \| `latency` \| 113.258 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.93 pp sourcePopulation 145 stderr 0.925 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_tax_eval_v2.B3yoffr8.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2 Observed 2026-10-21T16:45:59.000Z Evidence SHA-256 `8b354a6ae848f5bb25a2e8b061b5f576d5b9e0c11b941dc1e6bed078e6529cd6` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [SWE-bench / 1-4 hours](https://benchize.com/benchmarks/vals-ai%3Aswebench%3A1-4%20hours.md) | 40.48% | SE ±7.67 pp | 23 / 39 | $0.73 | 551.34source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 40.476 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.73469 \| USD \| per_test \| Lower is better \| \| `latency` \| 551.344 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±7.67 pp sourcePopulation 88 stderr 7.666 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:13.711Z Evidence SHA-256 `7a4e2e8485283caac500127419f68ec4bd5414c837ade114fc6afa5b2d34ccaa` Source locator `/tasks/1-4 hours/minimax~1MiniMax-M2.1` | | | | | | | | | [MGSM / overall](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Aoverall.md) | 87.85% | SE ±1.83 pp | 5 / 8 | $0.00134 | 13.86source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.854 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001335 \| USD \| per_test \| Lower is better \| \| `latency` \| 13.862 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.83 pp sourcePopulation 75 stderr 1.827 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [MGSM / mgsm en](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_en.md) | 100% | SE ±0 pp | 1 / 8 | $0.00115 | 12.13source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 100 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001154 \| USD \| per_test \| Lower is better \| \| `latency` \| 12.127 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0 pp sourcePopulation 75 stderr 0 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_en/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / computer science](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Acomputer_science.md) | 87.07% | SE ±1.67 pp | 28 / 40 | $0.00326 | 38.49source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.073 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.003263 \| USD \| per_test \| Lower is better \| \| `latency` \| 38.487 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.67 pp sourcePopulation 138 stderr 1.67 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/computer_science/minimax~1MiniMax-M2.1` | | | | | | | | | [LegalBench / conclusion tasks](https://benchize.com/benchmarks/vals-ai%3Alegal_bench%3Aconclusion_tasks.md) | 85.32% | SE ±0.8 pp | 36 / 44 | $0.000695 | 9.64source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 85.318 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.000695 \| USD \| per_test \| Lower is better \| \| `latency` \| 9.637 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.8 pp sourcePopulation 151 stderr 0.804 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:45:53.390Z Evidence SHA-256 `c8486ba756baa5cd3955d035edff67440e8db23e69d62ad1a9e18d15b8c4bc52` Source locator `/tasks/conclusion_tasks/minimax~1MiniMax-M2.1` | | | | | | | | | [ToneBench Scriptwriting](https://benchize.com/benchmarks/tonebench%3Ascripts.md) | 831.4 | Range 761.4–910.9 | 107 / 126 | — | — | [tonebench](https://benchmark.towardsai.com/data/leaderboard.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 831.4 \| rating \| reported \| Higher is better \| \| `overall` \| 64.7 \| percent \| reported \| Higher is better \| \| `anti_slop_numbers` \| 57.9 \| source_score \| rubric \| Higher is better \| \| `continuity_emotion` \| 66.59 \| source_score \| rubric \| Higher is better \| \| `cue_quality` \| 49.11 \| source_score \| rubric \| Higher is better \| \| `hook_strength` \| 75.03 \| source_score \| rubric \| Higher is better \| \| `length_adherence` \| 63.81 \| source_score \| rubric \| Higher is better \| \| `slop` \| 71.45 \| source_score \| rubric \| Higher is better \| \| `slop_score` \| 85 \| source_score \| rubric \| Higher is better \| \| `substance_accuracy` \| 68.79 \| source_score \| rubric \| Higher is better \| \| `tone_voice` \| 61.79 \| source_score \| rubric \| Higher is better \| \| `writing_quality` \| 65.81 \| source_score \| rubric \| Higher is better \| \| `youtube_best_practices` \| 55.16 \| source_score \| rubric \| Higher is better \| ### Configuration provider openrouter Reasoning effort unknown scoreScope 10_task_current sourceConfiguration minimax-m2-1-or ### Reported statistics Uncertainty Reported interval: 761.4–910.9 interval [761.4,910.9] rank 111 runCount 5 ### Source [Original source](https://benchmark.towardsai.com/data/leaderboard.json) Source tonebench Original model label MiniMax M2.1 (thinking always on) Evaluated 2026-10-08 Observed 2026-10-21T16:32:48.862Z Evidence SHA-256 `4264338337f418d3ded7ace250cad64fe12cacbd4b79a312bfaf0ae9268a01c3` Source locator `/rows/110` | | | | | | | | | [MGSM / mgsm th](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_th.md) | 92.4% | SE ±1.68 pp | 3 / 8 | $0.00145 | 13.37source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 92.4 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001451 \| USD \| per_test \| Lower is better \| \| `latency` \| 13.369 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.68 pp sourcePopulation 75 stderr 1.676 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_th/minimax~1MiniMax-M2.1` | | | | | | | | | [MGSM / mgsm te](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_te.md) | 84.4% | SE ±2.3 pp | 6 / 8 | $0.00136 | 13.66source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 84.4 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001356 \| USD \| per_test \| Lower is better \| \| `latency` \| 13.656 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.3 pp sourcePopulation 75 stderr 2.295 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_te/minimax~1MiniMax-M2.1` | | | | | | | | | [CorpFin v2 / overall](https://benchize.com/benchmarks/vals-ai%3Acorp_fin_v2%3Aoverall.md) | 58.9% | SE ±0.97 pp | 30 / 39 | $0.02 | 21.97source duration | [Vals AI · 2](https://www.vals.ai/_astro/benchmark_view_corp_fin_v2.CectKwl1.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.896 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.022461 \| USD \| per_test \| Lower is better \| \| `latency` \| 21.969 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.97 pp sourcePopulation 134 stderr 0.968 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_corp_fin_v2.CectKwl1.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2 Observed 2026-10-21T16:45:57.998Z Evidence SHA-256 `7cf2217ab3728d5a84bffce82aab9fc52d7f810b0cbe8c65b387df47f3d31c9b` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [MedQA / black](https://benchize.com/benchmarks/vals-ai%3Amedqa%3Ablack.md) | 91.15% | SE ±0.64 pp | 5 / 12 | $0.00238 | 36.27source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 91.15 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.00238 \| USD \| per_test \| Lower is better \| \| `latency` \| 36.27 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.64 pp sourcePopulation 95 stderr 0.635 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:00.691Z Evidence SHA-256 `d67905978d932f64698ebe9e230d9519e5bae1c9d7176dda8379dc3874b6f90f` Source locator `/tasks/black/minimax~1MiniMax-M2.1` | | | | | | | | | [Longform Creative Writing](https://benchize.com/benchmarks/eq-bench%3Alongform-writing.md) | 57.8% | — | 59 / 93 | — | — | [eq bench · longform-writing](https://eqbench.com/creative_writing_longform.js) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `overall_score_100` \| 57.8 \| percent \| overall \| Higher is better \| \| `chapter1_avg` \| 13.86 \| rubric_score \| overall \| Higher is better \| \| `chapter2_avg` \| 13.63 \| rubric_score \| overall \| Higher is better \| \| `chapter3_avg` \| 12.70 \| rubric_score \| overall \| Higher is better \| \| `chapter4_avg` \| 12.38 \| rubric_score \| overall \| Higher is better \| \| `chapter5_avg` \| 11.31 \| rubric_score \| overall \| Higher is better \| \| `chapter6_avg` \| 11.12 \| rubric_score \| overall \| Higher is better \| \| `chapter7_avg` \| 10.51 \| rubric_score \| overall \| Higher is better \| \| `chapter8_avg` \| 11.10 \| rubric_score \| overall \| Higher is better \| \| `final_judgement_avg` \| 10.82 \| rubric_score \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol longform-writing sourceModelVersion MiniMaxAI/MiniMax-M2.1 ### Source [Original source](https://eqbench.com/creative_writing_longform.js) Source eq bench Original model label MiniMaxAI/MiniMax-M2.1 Source version longform-writing Observed 2026-10-21T16:35:02.575Z Evidence SHA-256 `3ba283ce357ac7620e16db640a961879c30fe3ddc50a27de9a8ed4290784825c` Source locator `/leaderboardDataLongformV3/33` | | | | | | | | | [MGSM / mgsm sw](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_sw.md) | 88% | SE ±2.06 pp | 5 / 8 | $0.00107 | 11.34source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 88 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001074 \| USD \| per_test \| Lower is better \| \| `latency` \| 11.344 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.06 pp sourcePopulation 75 stderr 2.055 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_sw/minimax~1MiniMax-M2.1` | | | | | | | | | [SWE-bench / 15 min - 1 hour](https://benchize.com/benchmarks/vals-ai%3Aswebench%3A15%20min%20-%201%20hour.md) | 72.8% | SE ±2.76 pp | 24 / 39 | $0.51 | 430.41source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 72.797 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.508754 \| USD \| per_test \| Lower is better \| \| `latency` \| 430.408 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.76 pp sourcePopulation 88 stderr 2.76 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:13.711Z Evidence SHA-256 `7a4e2e8485283caac500127419f68ec4bd5414c837ade114fc6afa5b2d34ccaa` Source locator `/tasks/15 min - 1 hour/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / chemistry](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Achemistry.md) | 91.34% | SE ±0.84 pp | 19 / 40 | $0.00452 | 54.02source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 91.343 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.004516 \| USD \| per_test \| Lower is better \| \| `latency` \| 54.018 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.84 pp sourcePopulation 138 stderr 0.836 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/chemistry/minimax~1MiniMax-M2.1` | | | | | | | | | [MedQA / asian](https://benchize.com/benchmarks/vals-ai%3Amedqa%3Aasian.md) | 90.4% | SE ±0.66 pp | 5 / 12 | $0.00241 | 36.29source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.4 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.002414 \| USD \| per_test \| Lower is better \| \| `latency` \| 36.292 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.66 pp sourcePopulation 95 stderr 0.659 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:00.691Z Evidence SHA-256 `d67905978d932f64698ebe9e230d9519e5bae1c9d7176dda8379dc3874b6f90f` Source locator `/tasks/asian/minimax~1MiniMax-M2.1` | | | | | | | | | [CorpFin v2 / shared max context](https://benchize.com/benchmarks/vals-ai%3Acorp_fin_v2%3Ashared_max_context.md) | 61.07% | SE ±1.67 pp | 26 / 39 | $0.02 | 22.18source duration | [Vals AI · 2](https://www.vals.ai/_astro/benchmark_view_corp_fin_v2.CectKwl1.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 61.072 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.024085 \| USD \| per_test \| Lower is better \| \| `latency` \| 22.18 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.67 pp sourcePopulation 134 stderr 1.665 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_corp_fin_v2.CectKwl1.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2 Observed 2026-10-21T16:45:57.998Z Evidence SHA-256 `7cf2217ab3728d5a84bffce82aab9fc52d7f810b0cbe8c65b387df47f3d31c9b` Source locator `/tasks/shared_max_context/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / health](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Ahealth.md) | 83.74% | SE ±1.29 pp | 11 / 40 | $0.00188 | 25.64source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 83.741 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001883 \| USD \| per_test \| Lower is better \| \| `latency` \| 25.643 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.29 pp sourcePopulation 138 stderr 1.29 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/health/minimax~1MiniMax-M2.1` | | | | | | | | | [Terminal-Bench 2.0 / overall](https://benchize.com/benchmarks/vals-ai%3Aterminal-bench-2%3Aoverall.md) | 37.08% | SE ±5.15 pp | 14 / 23 | $0.07 | 782.07source duration | [Vals AI · 2.0](https://www.vals.ai/_astro/benchmark_view_terminal_bench_2.T48tPR4O.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 37.079 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.070371 \| USD \| per_test \| Lower is better \| \| `latency` \| 782.07 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.15 pp sourcePopulation 67 stderr 5.149 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_terminal_bench_2.T48tPR4O.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2.0 Observed 2026-10-21T16:46:14.732Z Evidence SHA-256 `38e640d995259778e531f048b2f2c7b3b281cb05b56be643ddc9dc53eb85adf7` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [MedScribe / overall](https://benchize.com/benchmarks/vals-ai%3Amedscribe%3Aoverall.md) | 80.78% | SE ±1.83 pp | 29 / 49 | $0.00509 | 53.16source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medscribe.BYf5a3C-.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 80.777 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.005087 \| USD \| per_test \| Lower is better \| \| `latency` \| 53.161 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.83 pp sourcePopulation 109 stderr 1.831 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medscribe.BYf5a3C-.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:00.004Z Evidence SHA-256 `271fc122ddc2b0602bd6c7947f65a9a7f0d8cab94f6dc27d62a9380a9317f9c0` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / math](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Amath.md) | 92.75% | SE ±0.71 pp | 29 / 40 | $0.00431 | 55.21source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 92.746 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.004308 \| USD \| per_test \| Lower is better \| \| `latency` \| 55.213 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.71 pp sourcePopulation 138 stderr 0.706 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/math/minimax~1MiniMax-M2.1` | | | | | | | | | [MGSM / mgsm ja](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_ja.md) | 90% | SE ±1.9 pp | 2 / 8 | $0.00172 | 17.87source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.00172 \| USD \| per_test \| Lower is better \| \| `latency` \| 17.872 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.9 pp sourcePopulation 75 stderr 1.897 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_ja/minimax~1MiniMax-M2.1` | | | | | | | | | [LiveCodeBench / overall](https://benchize.com/benchmarks/vals-ai%3Alcb%3Aoverall.md) | 81.76% | SE ±1.1 pp | 28 / 43 | $0.02 | 246.07source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_lcb.miyRUvVa.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 81.756 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.018485 \| USD \| per_test \| Lower is better \| \| `latency` \| 246.072 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.1 pp sourcePopulation 143 stderr 1.099 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_lcb.miyRUvVa.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:14.220Z Evidence SHA-256 `1a7c7dabc9d95a0182886b1edc42623987cac2095a0d407a5e334f37acdfa2f5` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [AIME / aime 2024](https://benchize.com/benchmarks/vals-ai%3Aaime%3Aaime_2024.md) | 79.17% | SE ±1.75 pp | 8 / 14 | $0.02 | 217.94source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_aime.C3_jItdR.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 79.167 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.022637 \| USD \| per_test \| Lower is better \| \| `latency` \| 217.936 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.75 pp sourcePopulation 96 stderr 1.754 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_aime.C3_jItdR.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:01.920Z Evidence SHA-256 `7d016210b39d24351bbb5d12be09a973decac461bb2486eb1f23724fed2b7e6c` Source locator `/tasks/aime_2024/minimax~1MiniMax-M2.1` | | | | | | | | | [TaxEval v2 / stepwise reasoning](https://benchize.com/benchmarks/vals-ai%3Atax_eval_v2%3Astepwise_reasoning.md) | 78.25% | SE ±1.18 pp | 36 / 40 | $0.00914 | 113.26source duration | [Vals AI · 2](https://www.vals.ai/_astro/benchmark_view_tax_eval_v2.B3yoffr8.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 78.25 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.009137 \| USD \| per_test \| Lower is better \| \| `latency` \| 113.258 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.18 pp sourcePopulation 145 stderr 1.18 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_tax_eval_v2.B3yoffr8.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2 Observed 2026-10-21T16:45:59.000Z Evidence SHA-256 `8b354a6ae848f5bb25a2e8b061b5f576d5b9e0c11b941dc1e6bed078e6529cd6` Source locator `/tasks/stepwise_reasoning/minimax~1MiniMax-M2.1` | | | | | | | | | [LegalBench / issue tasks](https://benchize.com/benchmarks/vals-ai%3Alegal_bench%3Aissue_tasks.md) | 71.97% | SE ±0.81 pp | 42 / 44 | $0.00105 | 10.12source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.973 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001045 \| USD \| per_test \| Lower is better \| \| `latency` \| 10.116 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.81 pp sourcePopulation 151 stderr 0.807 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:45:53.390Z Evidence SHA-256 `c8486ba756baa5cd3955d035edff67440e8db23e69d62ad1a9e18d15b8c4bc52` Source locator `/tasks/issue_tasks/minimax~1MiniMax-M2.1` | | | | | | | | | [SimpleBench](https://benchize.com/benchmarks/simplebench%3Aavg-at-5.md) | 34.7% | — | 45 / 62 | — | — | [simplebench](https://simple-bench.com/static/js/leaderboard-data.js) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 34.7 \| percent \| average_at_5 \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration MiniMax M2.1 thinkingEnabled Not reported ### Reported statistics rank 78th ### Source [Original source](https://simple-bench.com/static/js/leaderboard-data.js) Source simplebench Original model label MiniMax M2.1 Observed 2026-10-21T16:32:13.183Z Evidence SHA-256 `b2d0285ad3e4e15750ed20d39897e7558d1c05e8962e90c861b06f93c8019dc9` Source locator `/rows/79` | | | | | | | | | [MMLU Pro / economics](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Aeconomics.md) | 90.28% | SE ±1.02 pp | 16 / 40 | $0.00194 | 21.51source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.284 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001944 \| USD \| per_test \| Lower is better \| \| `latency` \| 21.514 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.02 pp sourcePopulation 138 stderr 1.019 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/economics/minimax~1MiniMax-M2.1` | | | | | | | | | [DesignArena Browser game generation](https://benchize.com/benchmarks/designarena%3Agame-dev.md) | 1,134elo | — | 74 / 117 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=game-dev) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1134 \| elo \| game-dev \| Higher is better \| ### Configuration arenaType models category gamedev inputModality Not reported sourceModelVersion minimax-m2.1 variationName public ### Reported statistics averageGenerationTimeMs 131497 battles 2300 losses 1140 standardError Not reported winRate 50.4 wins 1160 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=game-dev) Source designarena Original model label MiniMax M2.1 Source version public Observed 2026-10-21T16:38:01.100Z Evidence SHA-256 `53db6a89112ce8cdf644568c666d4b8309aece764cfcedb291ffd52ae3934e30` Source locator `/data/112` | | | | | | | | | [LegalBench / rule tasks](https://benchize.com/benchmarks/vals-ai%3Alegal_bench%3Arule_tasks.md) | 74.55% | SE ±1.83 pp | 34 / 44 | $0.00159 | 21.45source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.551 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001587 \| USD \| per_test \| Lower is better \| \| `latency` \| 21.452 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.83 pp sourcePopulation 151 stderr 1.826 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:45:53.390Z Evidence SHA-256 `c8486ba756baa5cd3955d035edff67440e8db23e69d62ad1a9e18d15b8c4bc52` Source locator `/tasks/rule_tasks/minimax~1MiniMax-M2.1` | | | | | | | | | [LiveCodeBench / easy](https://benchize.com/benchmarks/vals-ai%3Alcb%3Aeasy.md) | 96.27% | SE ±1.06 pp | 38 / 43 | $0.00289 | 36.87source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_lcb.miyRUvVa.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 96.273 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.002892 \| USD \| per_test \| Lower is better \| \| `latency` \| 36.87 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.06 pp sourcePopulation 143 stderr 1.056 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_lcb.miyRUvVa.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:14.220Z Evidence SHA-256 `1a7c7dabc9d95a0182886b1edc42623987cac2095a0d407a5e334f37acdfa2f5` Source locator `/tasks/easy/minimax~1MiniMax-M2.1` | | | | | | | | | [MedQA / hispanic](https://benchize.com/benchmarks/vals-ai%3Amedqa%3Ahispanic.md) | 91.1% | SE ±0.64 pp | 5 / 12 | $0.0024 | 36.79source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 91.1 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.002401 \| USD \| per_test \| Lower is better \| \| `latency` \| 36.786 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.64 pp sourcePopulation 95 stderr 0.637 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:00.691Z Evidence SHA-256 `d67905978d932f64698ebe9e230d9519e5bae1c9d7176dda8379dc3874b6f90f` Source locator `/tasks/hispanic/minimax~1MiniMax-M2.1` | | | | | | | | | [GPQA Diamond / diamond zero shot cot](https://benchize.com/benchmarks/vals-ai%3Agpqa%3Adiamond_zero_shot_cot.md) | 81.31% | SE ±2.93 pp | 29 / 40 | $0.01 | 160.4source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_gpqa.ghZZBpyU.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 81.313 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.013312 \| USD \| per_test \| Lower is better \| \| `latency` \| 160.401 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.93 pp sourcePopulation 138 stderr 2.93 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_gpqa.ghZZBpyU.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.040Z Evidence SHA-256 `951eb5224097733a9d09d06c14908ae2980e2e640e539f2c284877c5092d7077` Source locator `/tasks/diamond_zero_shot_cot/minimax~1MiniMax-M2.1` | | | | | | | | | [DesignArena Website generation](https://benchize.com/benchmarks/designarena%3Awebsite.md) | 1,201elo | — | 50 / 123 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=website) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1201 \| elo \| website \| Higher is better \| ### Configuration arenaType models category website inputModality text sourceModelVersion minimax-m2.1 variationName public ### Reported statistics averageGenerationTimeMs 122768 battles 15161 losses 6756 standardError Not reported winRate 55.4 wins 8405 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=website) Source designarena Original model label MiniMax M2.1 Source version public Observed 2026-10-21T16:37:57.757Z Evidence SHA-256 `51873e97776a3c5ae706b24cc2c60384793dd18398df970e213a8e7c276d8ac0` Source locator `/data/81` | | | | | | | | | [AIME / overall](https://benchize.com/benchmarks/vals-ai%3Aaime%3Aoverall.md) | 77.92% | SE ±1.29 pp | 8 / 14 | $0.02 | 237.64source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_aime.C3_jItdR.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 77.917 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.024152 \| USD \| per_test \| Lower is better \| \| `latency` \| 237.635 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.29 pp sourcePopulation 96 stderr 1.289 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_aime.C3_jItdR.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:01.920Z Evidence SHA-256 `7d016210b39d24351bbb5d12be09a973decac461bb2486eb1f23724fed2b7e6c` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [DesignArena Data visualization generation](https://benchize.com/benchmarks/designarena%3Adata-viz.md) | 1,206elo | — | 46 / 99 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=data-viz) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1206 \| elo \| data-viz \| Higher is better \| ### Configuration arenaType models category dataviz inputModality Not reported sourceModelVersion minimax-m2.1 variationName public ### Reported statistics averageGenerationTimeMs 110837 battles 442 losses 190 standardError Not reported winRate 57 wins 252 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=data-viz) Source designarena Original model label MiniMax M2.1 Source version public Observed 2026-10-21T16:37:58.264Z Evidence SHA-256 `a895f6f1a25fa8eb01f821c2097ddec4f884de7bd22f1b8a22e82e6679b71849` Source locator `/data/70` | | | | | | | | | [AIME 2025](https://benchize.com/benchmarks/aime-2025.md) | 76.67% | SE ±1.89 pp | 8 / 14 | $0.03 | 257.33source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_aime.C3_jItdR.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 76.667 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.025666 \| USD \| per_test \| Lower is better \| \| `latency` \| 257.333 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.89 pp sourcePopulation 96 stderr 1.89 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_aime.C3_jItdR.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:01.920Z Evidence SHA-256 `7d016210b39d24351bbb5d12be09a973decac461bb2486eb1f23724fed2b7e6c` Source locator `/tasks/aime_2025/minimax~1MiniMax-M2.1` | | | | | | | | | [DesignArena UI component generation](https://benchize.com/benchmarks/designarena%3Aui-components.md) | 1,223elo | — | 43 / 112 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ui-components) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1223 \| elo \| ui-components \| Higher is better \| ### Configuration arenaType models category uicomponent inputModality Not reported sourceModelVersion minimax-m2.1 variationName public ### Reported statistics averageGenerationTimeMs 114381 battles 746 losses 292 standardError Not reported winRate 60.9 wins 454 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ui-components) Source designarena Original model label MiniMax M2.1 Source version public Observed 2026-10-21T16:37:57.993Z Evidence SHA-256 `46482ec1b4012638eace65493daea4750e2088098018fd9d5fc46126fc1f8557` Source locator `/data/67` | | | | | | | | | [MGSM / mgsm zh](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_zh.md) | 90.4% | SE ±1.86 pp | 5 / 8 | $0.00143 | 15.98source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.4 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001426 \| USD \| per_test \| Lower is better \| \| `latency` \| 15.983 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.86 pp sourcePopulation 75 stderr 1.863 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_zh/minimax~1MiniMax-M2.1` | | | | | | | | | [LiveCodeBench / medium](https://benchize.com/benchmarks/vals-ai%3Alcb%3Amedium.md) | 86.42% | SE ±1.75 pp | 27 / 43 | $0.01 | 171.75source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_lcb.miyRUvVa.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 86.423 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.013857 \| USD \| per_test \| Lower is better \| \| `latency` \| 171.747 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.75 pp sourcePopulation 143 stderr 1.75 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_lcb.miyRUvVa.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:14.220Z Evidence SHA-256 `1a7c7dabc9d95a0182886b1edc42623987cac2095a0d407a5e334f37acdfa2f5` Source locator `/tasks/medium/minimax~1MiniMax-M2.1` | | | | | | | | | [LegalBench / interpretation tasks](https://benchize.com/benchmarks/vals-ai%3Alegal_bench%3Ainterpretation_tasks.md) | 73.59% | SE ±0.26 pp | 40 / 44 | $0.000753 | 9.03source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 73.592 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.000753 \| USD \| per_test \| Lower is better \| \| `latency` \| 9.034 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.26 pp sourcePopulation 151 stderr 0.263 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:45:53.390Z Evidence SHA-256 `c8486ba756baa5cd3955d035edff67440e8db23e69d62ad1a9e18d15b8c4bc52` Source locator `/tasks/interpretation_tasks/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / business](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Abusiness.md) | 90.11% | SE ±1.07 pp | 26 / 40 | $0.00302 | 38.45source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.114 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.003023 \| USD \| per_test \| Lower is better \| \| `latency` \| 38.449 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.07 pp sourcePopulation 138 stderr 1.069 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/business/minimax~1MiniMax-M2.1` | | | | | | | | | [SWE-bench / >4 hours](https://benchize.com/benchmarks/vals-ai%3Aswebench%3A%3E4%20hours.md) | 33.33% | SE ±33.33 pp | 13 / 39 | $0.82 | 650.54source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 33.333 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.817428 \| USD \| per_test \| Lower is better \| \| `latency` \| 650.542 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±33.33 pp sourcePopulation 88 stderr 33.333 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:13.711Z Evidence SHA-256 `7a4e2e8485283caac500127419f68ec4bd5414c837ade114fc6afa5b2d34ccaa` Source locator `/tasks/>4 hours/minimax~1MiniMax-M2.1` | | | | | | | | | [MedCode / overall](https://benchize.com/benchmarks/vals-ai%3Amedcode%3Aoverall.md) | 34.08% | SE ±1.94 pp | 40 / 49 | — | 19.55source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medcode.DehpEDgG.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 34.083 \| percent \| reported \| Higher is better \| \| `latency` \| 19.548 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 30000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.94 pp sourcePopulation 107 stderr 1.943 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medcode.DehpEDgG.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:45:59.516Z Evidence SHA-256 `988a6ae1e07e33ce031572ed4a804be11c36ee97a1dd75cbe4740fff3b534f8c` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU-Pro](https://benchize.com/benchmarks/mmlu-pro.md) | 87.05% | SE ±0.33 pp | 19 / 40 | $0.00323 | 40.96source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.049 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.003225 \| USD \| per_test \| Lower is better \| \| `latency` \| 40.957 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.33 pp sourcePopulation 138 stderr 0.333 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [LiveCodeBench / hard](https://benchize.com/benchmarks/vals-ai%3Alcb%3Ahard.md) | 62.57% | SE ±2.59 pp | 26 / 43 | $0.04 | 529.6source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_lcb.miyRUvVa.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.571 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.038707 \| USD \| per_test \| Lower is better \| \| `latency` \| 529.6 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.59 pp sourcePopulation 143 stderr 2.587 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_lcb.miyRUvVa.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:14.220Z Evidence SHA-256 `1a7c7dabc9d95a0182886b1edc42623987cac2095a0d407a5e334f37acdfa2f5` Source locator `/tasks/hard/minimax~1MiniMax-M2.1` | | | | | | | | | [MedQA / unbiased](https://benchize.com/benchmarks/vals-ai%3Amedqa%3Aunbiased.md) | 92.25% | SE ±0.6 pp | 4 / 12 | $0.00241 | 35.65source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 92.25 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.002412 \| USD \| per_test \| Lower is better \| \| `latency` \| 35.648 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.6 pp sourcePopulation 95 stderr 0.598 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:00.691Z Evidence SHA-256 `d67905978d932f64698ebe9e230d9519e5bae1c9d7176dda8379dc3874b6f90f` Source locator `/tasks/unbiased/minimax~1MiniMax-M2.1` | | | | | | | | | [LegalBench / overall](https://benchize.com/benchmarks/vals-ai%3Alegal_bench%3Aoverall.md) | 75.45% | SE ±0.54 pp | 40 / 44 | $0.000937 | 11.49source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 75.448 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.000937 \| USD \| per_test \| Lower is better \| \| `latency` \| 11.491 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.54 pp sourcePopulation 151 stderr 0.539 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_legal_bench.D6uTgA3b.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:45:53.390Z Evidence SHA-256 `c8486ba756baa5cd3955d035edff67440e8db23e69d62ad1a9e18d15b8c4bc52` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [DesignArena SVG generation](https://benchize.com/benchmarks/designarena%3Asvgs.md) | 1,132elo | — | 45 / 77 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=svgs) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1132 \| elo \| svgs \| Higher is better \| ### Configuration arenaType models category svg inputModality Not reported sourceModelVersion minimax-m2.1 variationName public ### Reported statistics averageGenerationTimeMs 40741 battles 2075 losses 925 standardError Not reported winRate 55.4 wins 1150 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=svgs) Source designarena Original model label MiniMax M2.1 Source version public Observed 2026-10-21T16:38:03.249Z Evidence SHA-256 `8cbc34a474a66ef5c64f3ffe557df9b55bf7e13368c07c0214223e3ed8f3f21e` Source locator `/data/75` | | | | | | | | | [GPQA Diamond / diamond few shot cot](https://benchize.com/benchmarks/vals-ai%3Agpqa%3Adiamond_few_shot_cot.md) | 75.76% | SE ±3.09 pp | 30 / 40 | $0.00953 | 110.42source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_gpqa.ghZZBpyU.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 75.758 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.009533 \| USD \| per_test \| Lower is better \| \| `latency` \| 110.423 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.09 pp sourcePopulation 138 stderr 3.088 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_gpqa.ghZZBpyU.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.040Z Evidence SHA-256 `951eb5224097733a9d09d06c14908ae2980e2e640e539f2c284877c5092d7077` Source locator `/tasks/diamond_few_shot_cot/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / history](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Ahistory.md) | 79.53% | SE ±2.07 pp | 18 / 40 | $0.00304 | 38.9source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 79.528 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.003043 \| USD \| per_test \| Lower is better \| \| `latency` \| 38.904 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.07 pp sourcePopulation 138 stderr 2.067 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/history/minimax~1MiniMax-M2.1` | | | | | | | | | [TaxEval v2 / correctness](https://benchize.com/benchmarks/vals-ai%3Atax_eval_v2%3Acorrectness.md) | 54.46% | SE ±1.42 pp | 34 / 40 | $0.00914 | 113.26source duration | [Vals AI · 2](https://www.vals.ai/_astro/benchmark_view_tax_eval_v2.B3yoffr8.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 54.456 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.009137 \| USD \| per_test \| Lower is better \| \| `latency` \| 113.258 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.42 pp sourcePopulation 145 stderr 1.424 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_tax_eval_v2.B3yoffr8.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2 Observed 2026-10-21T16:45:59.000Z Evidence SHA-256 `8b354a6ae848f5bb25a2e8b061b5f576d5b9e0c11b941dc1e6bed078e6529cd6` Source locator `/tasks/correctness/minimax~1MiniMax-M2.1` | | | | | | | | | [MGSM / mgsm fr](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_fr.md) | 83.6% | SE ±2.34 pp | 7 / 8 | $0.00174 | 18.39source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 83.6 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001738 \| USD \| per_test \| Lower is better \| \| `latency` \| 18.392 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.34 pp sourcePopulation 75 stderr 2.342 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_fr/minimax~1MiniMax-M2.1` | | | | | | | | | [Terminal-Bench 2.0 / medium](https://benchize.com/benchmarks/vals-ai%3Aterminal-bench-2%3Amedium.md) | 49.09% | SE ±6.8 pp | 13 / 23 | $0.11 | 1,265.53source duration | [Vals AI · 2.0](https://www.vals.ai/_astro/benchmark_view_terminal_bench_2.T48tPR4O.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 49.091 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.113873 \| USD \| per_test \| Lower is better \| \| `latency` \| 1265.532 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±6.8 pp sourcePopulation 67 stderr 6.803 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_terminal_bench_2.T48tPR4O.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2.0 Observed 2026-10-21T16:46:14.732Z Evidence SHA-256 `38e640d995259778e531f048b2f2c7b3b281cb05b56be643ddc9dc53eb85adf7` Source locator `/tasks/medium/minimax~1MiniMax-M2.1` | | | | | | | | | [MedQA / indigenous](https://benchize.com/benchmarks/vals-ai%3Amedqa%3Aindigenous.md) | 91.25% | SE ±0.63 pp | 5 / 12 | $0.00237 | 35.94source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 91.25 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.002371 \| USD \| per_test \| Lower is better \| \| `latency` \| 35.943 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.63 pp sourcePopulation 95 stderr 0.632 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:00.691Z Evidence SHA-256 `d67905978d932f64698ebe9e230d9519e5bae1c9d7176dda8379dc3874b6f90f` Source locator `/tasks/indigenous/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / other](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Aother.md) | 86.04% | SE ±1.14 pp | 14 / 40 | $0.00185 | 26.16source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 86.039 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001852 \| USD \| per_test \| Lower is better \| \| `latency` \| 26.158 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.14 pp sourcePopulation 138 stderr 1.14 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/other/minimax~1MiniMax-M2.1` | | | | | | | | | [MATH-500](https://benchize.com/benchmarks/math-500.md) | 89% | SE ±1.4 pp | 1 / 5 | $0.00464 | 59.69source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_math500.BvFbu92X.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 89 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.004642 \| USD \| per_test \| Lower is better \| \| `latency` \| 59.692 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.4 pp sourcePopulation 60 stderr 1.399 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_math500.BvFbu92X.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.516Z Evidence SHA-256 `435ec4da1112362c0a6bb4afeab53bf7b0faf2000e1ddbe1a878735dca1fe35b` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [MedQA / overall](https://benchize.com/benchmarks/vals-ai%3Amedqa%3Aoverall.md) | 91.16% | SE ±0.26 pp | 5 / 12 | $0.00238 | 35.94source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 91.158 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.002383 \| USD \| per_test \| Lower is better \| \| `latency` \| 35.938 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.26 pp sourcePopulation 95 stderr 0.259 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_medqa.Cco1kvog.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:00.691Z Evidence SHA-256 `d67905978d932f64698ebe9e230d9519e5bae1c9d7176dda8379dc3874b6f90f` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [SWE-bench / overall](https://benchize.com/benchmarks/vals-ai%3Aswebench%3Aoverall.md) | 74.8% | SE ±1.94 pp | 25 / 39 | $0.44 | 386.26source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.8 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.439041 \| USD \| per_test \| Lower is better \| \| `latency` \| 386.256 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.94 pp sourcePopulation 88 stderr 1.944 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:13.711Z Evidence SHA-256 `7a4e2e8485283caac500127419f68ec4bd5414c837ade114fc6afa5b2d34ccaa` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [Terminal-Bench 2.0 / easy](https://benchize.com/benchmarks/vals-ai%3Aterminal-bench-2%3Aeasy.md) | 50% | SE ±28.87 pp | 17 / 23 | $1.57 | 17,401.07source duration | [Vals AI · 2.0](https://www.vals.ai/_astro/benchmark_view_terminal_bench_2.T48tPR4O.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 50 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.56576 \| USD \| per_test \| Lower is better \| \| `latency` \| 17401.069 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±28.87 pp sourcePopulation 67 stderr 28.868 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_terminal_bench_2.T48tPR4O.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2.0 Observed 2026-10-21T16:46:14.732Z Evidence SHA-256 `38e640d995259778e531f048b2f2c7b3b281cb05b56be643ddc9dc53eb85adf7` Source locator `/tasks/easy/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / philosophy](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Aphilosophy.md) | 85.97% | SE ±1.56 pp | 17 / 40 | $0.00177 | 23.97source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 85.972 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001774 \| USD \| per_test \| Lower is better \| \| `latency` \| 23.972 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.56 pp sourcePopulation 138 stderr 1.555 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/philosophy/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / physics](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Aphysics.md) | 89.53% | SE ±0.85 pp | 29 / 40 | $0.004 | 52.39source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 89.53 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.003995 \| USD \| per_test \| Lower is better \| \| `latency` \| 52.388 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.85 pp sourcePopulation 138 stderr 0.849 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/physics/minimax~1MiniMax-M2.1` | | | | | | | | | [MGSM / mgsm bn](https://benchize.com/benchmarks/vals-ai%3Amgsm%3Amgsm_bn.md) | 58.8% | SE ±3.11 pp | 7 / 8 | $0.00129 | 12.42source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.8 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.001291 \| USD \| per_test \| Lower is better \| \| `latency` \| 12.422 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.11 pp sourcePopulation 75 stderr 3.113 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mgsm.CneCP-rm.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:02.976Z Evidence SHA-256 `1b87f953e52c00bf4bdd90c3add26165f644eeb7a74a8382d2a0324ff0cc1040` Source locator `/tasks/mgsm_bn/minimax~1MiniMax-M2.1` | | | | | | | | | [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,581 | — | 39 / 191 | — | — | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1581 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_minimax_minimax_m2_1 ### Reported statistics coverageCount 27 draws 1 judged 68 losses 29 rank 47 ratingDeviation 28 wins 38 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label MiniMax M2.1 Observed 2026-10-21T16:32:23.388Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/45` | | | | | | | | | [DesignArena 3D design generation](https://benchize.com/benchmarks/designarena%3A3d-design.md) | 1,165elo | — | 47 / 110 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=3d-design) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1165 \| elo \| 3d-design \| Higher is better \| ### Configuration arenaType models category 3d inputModality Not reported sourceModelVersion minimax-m2.1 variationName public ### Reported statistics averageGenerationTimeMs 96071 battles 2159 losses 917 standardError Not reported winRate 57.5 wins 1242 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=3d-design) Source designarena Original model label MiniMax M2.1 Source version public Observed 2026-10-21T16:37:58.515Z Evidence SHA-256 `bcc0267f7bc7e9ec112306b3a35413cf78bbccbfaa838356232d5d5ed0b83d0f` Source locator `/data/76` | | | | | | | | | [CorpFin v2 / max fitting context](https://benchize.com/benchmarks/vals-ai%3Acorp_fin_v2%3Amax_fitting_context.md) | 54.31% | SE ±1.7 pp | 34 / 39 | $0.04 | 28.34source duration | [Vals AI · 2](https://www.vals.ai/_astro/benchmark_view_corp_fin_v2.CectKwl1.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 54.312 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.041668 \| USD \| per_test \| Lower is better \| \| `latency` \| 28.337 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.7 pp sourcePopulation 134 stderr 1.701 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_corp_fin_v2.CectKwl1.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 2 Observed 2026-10-21T16:45:57.998Z Evidence SHA-256 `7cf2217ab3728d5a84bffce82aab9fc52d7f810b0cbe8c65b387df47f3d31c9b` Source locator `/tasks/max_fitting_context/minimax~1MiniMax-M2.1` | | | | | | | | | [SWE-bench / <15 min fix](https://benchize.com/benchmarks/vals-ai%3Aswebench%3A%3C15%20min%20fix.md) | 85.57% | SE ±2.53 pp | 25 / 39 | $0.28 | 287.03source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 85.567 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.275394 \| USD \| per_test \| Lower is better \| \| `latency` \| 287.029 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.53 pp sourcePopulation 88 stderr 2.53 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_swebench.Ae8ni7h0.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:13.711Z Evidence SHA-256 `7a4e2e8485283caac500127419f68ec4bd5414c837ade114fc6afa5b2d34ccaa` Source locator `/tasks/<15 min fix/minimax~1MiniMax-M2.1` | | | | | | | | | [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 78.54% | SE ±2.13 pp | 30 / 40 | $0.01 | 135.41source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_gpqa.ghZZBpyU.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 78.536 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.011422 \| USD \| per_test \| Lower is better \| \| `latency` \| 135.412 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.13 pp sourcePopulation 138 stderr 2.128 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_gpqa.ghZZBpyU.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.040Z Evidence SHA-256 `951eb5224097733a9d09d06c14908ae2980e2e640e539f2c284877c5092d7077` Source locator `/tasks/overall/minimax~1MiniMax-M2.1` | | | | | | | | | [MMLU Pro / engineering](https://benchize.com/benchmarks/vals-ai%3Ammlu_pro%3Aengineering.md) | 81.84% | SE ±1.24 pp | 25 / 40 | $0.00832 | 105.72source duration | [Vals AI · 1](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 81.837 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.008321 \| USD \| per_test \| Lower is better \| \| `latency` \| 105.718 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.24 pp sourcePopulation 138 stderr 1.239 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_mmlu_pro.y416pXDi.json) Source Vals AI Original model label minimax/MiniMax-M2.1 Source version 1 Observed 2026-10-21T16:46:06.503Z Evidence SHA-256 `dab025507f46c716dd8d145e90ec0a737d9c56219853f41e4b1cc3c5e8c222b4` Source locator `/tasks/engineering/minimax~1MiniMax-M2.1` | | | | | | | | --- Cite as: MiniMax M2.1 — Benchize, https://benchize.com/models/minimax-m2-1 (retrieved 2026-10-21)