# EMB v1.1 / lbo > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Albo. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Albo. Evaluating agents on Excel-based financial modeling tasks, graded by the GPT-6 Luna rubric judge with template scoring fixes Canonical URL: https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Albo Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Evaluating agents on Excel-based financial modeling tasks, graded by the GPT-6 Luna rubric judge with template scoring fixes Professional work · Models tested: 19 · Score publishers: Vals AI ## Model results | # | Model | Score | ± | Cost | Latency | | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Sonnet 5.5](https://benchize.com/models/claude-sonnet-5-5-max.md)Max | 68.66% | SE ±4.23 pp | $11.17 | 2,529.29source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.661 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 11.166488 \| USD \| per_test \| Lower is better \| \| `latency` \| 2529.291 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.23 pp sourcePopulation 30 stderr 4.232 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label anthropic/claude-sonnet-5-5 Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/anthropic~1claude-sonnet-5-5` | | | | | | | | 2 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5-max.md)Max | 68.33% | SE ±5.89 pp | $10.81 | 1,926.23source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.328 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 10.806996 \| USD \| per_test \| Lower is better \| \| `latency` \| 1926.226 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.89 pp sourcePopulation 30 stderr 5.894 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label anthropic/claude-opus-5-5 Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/anthropic~1claude-opus-5-5` | | | | | | | | 3 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1-max.md)Max | 67.99% | SE ±4.67 pp | $18.89 | 2,121.97source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 67.988 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 18.889236 \| USD \| per_test \| Lower is better \| \| `latency` \| 2121.967 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.67 pp sourcePopulation 30 stderr 4.67 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label anthropic/claude-fable-5-1 Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/anthropic~1claude-fable-5-1` | | | | | | | | 4 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon-high.md)High | 67.16% | SE ±4.78 pp | $21.75 | 3,392.29source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 67.162 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 21.752123 \| USD \| per_test \| Lower is better \| \| `latency` \| 3392.293 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 262144 provider Google reasoning Not reported Reasoning effort high Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.78 pp sourcePopulation 30 stderr 4.775 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label google/gemini-4-argon Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/google~1gemini-4-argon` | | | | | | | | 5 | [Muse Wonder](https://benchize.com/models/muse-wonder-max.md)Max | 64.22% | SE ±5.1 pp | $9.5 | 1,638.99source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 64.223 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 9.500848 \| USD \| per_test \| Lower is better \| \| `latency` \| 1638.99 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131072 provider Meta reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.1 pp sourcePopulation 30 stderr 5.103 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label meta/muse-wonder Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/meta~1muse-wonder` | | | | | | | | 6 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol-max.md)Max | 63.76% | SE ±5.9 pp | $1.18 | 1,466.74source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.763 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.183843 \| USD \| per_test \| Lower is better \| \| `latency` \| 1466.738 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.9 pp sourcePopulation 30 stderr 5.895 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label openai/gpt-6.1-sol Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/openai~1gpt-6.1-sol` | | | | | | | | 7 | [DeepSeek V4.1 Flash 1017](https://benchize.com/models/deepseek-v4-1-flash-1017-max.md)Max | 62.46% | SE ±4.42 pp | $0.42 | 4,170.03source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.463 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.419172 \| USD \| per_test \| Lower is better \| \| `latency` \| 4170.026 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 384000 provider DeepSeek reasoning Not reported Reasoning effort max Temperature 1 topP 1 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.42 pp sourcePopulation 30 stderr 4.415 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label deepseek/deepseek-v4.1-flash-1017 Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/deepseek~1deepseek-v4.1-flash-1017` | | | | | | | | 8 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash-high.md)High | 62.17% | SE ±4.8 pp | $13.51 | 1,125.23source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.17 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 13.510599 \| USD \| per_test \| Lower is better \| \| `latency` \| 1125.234 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 65536 provider Google reasoning Not reported Reasoning effort high Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.8 pp sourcePopulation 30 stderr 4.799 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label google/gemini-3.8-flash Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/google~1gemini-3.8-flash` | | | | | | | | 9 | [MiMo-V2.6-Pro](https://benchize.com/models/mimo-v2-6-pro.md) | 61.56% | SE ±4.17 pp | $0.5 | 3,664.26source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 61.557 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.504393 \| USD \| per_test \| Lower is better \| \| `latency` \| 3664.258 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.17 pp sourcePopulation 30 stderr 4.172 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label xiaomi/mimo-v2.6-pro Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/xiaomi~1mimo-v2.6-pro` | | | | | | | | 10 | [Step 5 Preview](https://benchize.com/models/step-5-preview.md) | 61.22% | SE ±4.34 pp | $2.22 | 3,906.73source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 61.222 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 2.216785 \| USD \| per_test \| Lower is better \| \| `latency` \| 3906.731 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 1024000 provider Stepfun reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.34 pp sourcePopulation 30 stderr 4.338 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label stepfun/step-5-preview Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/stepfun~1step-5-preview` | | | | | | | | 11 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra-max.md)Max | 61.22% | SE ±6.1 pp | $5.72 | 818.98source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 61.219 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 5.720048 \| USD \| per_test \| Lower is better \| \| `latency` \| 818.984 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±6.1 pp sourcePopulation 30 stderr 6.096 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label openai/gpt-6-astra Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/openai~1gpt-6-astra` | | | | | | | | 12 | [MiMo-V2.6-Flash](https://benchize.com/models/mimo-v2-6-flash.md) | 59.51% | SE ±3.73 pp | $0.18 | 2,303.33source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 59.512 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.177028 \| USD \| per_test \| Lower is better \| \| `latency` \| 2303.334 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.73 pp sourcePopulation 30 stderr 3.727 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label xiaomi/mimo-v2.6-flash Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/xiaomi~1mimo-v2.6-flash` | | | | | | | | 13 | [MiniMax M3.1 Flash](https://benchize.com/models/minimax-m3-1-flash-max.md)Max | 58.63% | SE ±4.24 pp | $0.55 | 3,945.16source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.626 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.546001 \| USD \| per_test \| Lower is better \| \| `latency` \| 3945.157 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 262144 provider MiniMax reasoning Not reported Reasoning effort max Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.24 pp sourcePopulation 30 stderr 4.241 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label minimax/MiniMax-M3.1-flash Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/minimax~1MiniMax-M3.1-flash` | | | | | | | | 14 | [GPT-6 Luna](https://benchize.com/models/gpt-6-luna-max.md)Max | 57.94% | SE ±5.11 pp | $0.15 | 1,139.04source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 57.937 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.148123 \| USD \| per_test \| Lower is better \| \| `latency` \| 1139.036 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.11 pp sourcePopulation 30 stderr 5.108 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label openai/gpt-6-luna Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/openai~1gpt-6-luna` | | | | | | | | 15 | [DeepSeek V4.1 Flash](https://benchize.com/models/deepseek-v4-1-flash-max.md)Max | 56.38% | SE ±3.91 pp | $0.34 | 1,116.96source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 56.38 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.338915 \| USD \| per_test \| Lower is better \| \| `latency` \| 1116.958 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 384000 provider DeepSeek reasoning Not reported Reasoning effort max Temperature 1 topP 1 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.91 pp sourcePopulation 30 stderr 3.914 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label deepseek/deepseek-v4.1-flash Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/deepseek~1deepseek-v4.1-flash` | | | | | | | | 16 | [DeepSeek V4 Pro 0813](https://benchize.com/models/deepseek-v4-pro-0813-max.md)Max | 52.76% | SE ±5.05 pp | $1.92 | 3,745.66source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.76 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.922378 \| USD \| per_test \| Lower is better \| \| `latency` \| 3745.657 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 384000 provider DeepSeek reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.05 pp sourcePopulation 30 stderr 5.047 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label deepseek/deepseek-v4-pro-0813 Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/deepseek~1deepseek-v4-pro-0813` | | | | | | | | 17 | [Claude Haiku 5.5](https://benchize.com/models/claude-haiku-5-5-max.md)Max | 49.13% | SE ±9.09 pp | $1.42 | 1,186.83source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 49.132 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.420952 \| USD \| per_test \| Lower is better \| \| `latency` \| 1186.827 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±9.09 pp sourcePopulation 30 stderr 9.09 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label anthropic/claude-haiku-5-5 Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/anthropic~1claude-haiku-5-5` | | | | | | | | 18 | [Muse Spark Open](https://benchize.com/models/muse-spark-open-xhigh.md)Extra high | 48.33% | SE ±5.03 pp | $7.43 | 5,821.1source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 48.325 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 7.431962 \| USD \| per_test \| Lower is better \| \| `latency` \| 5821.099 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131072 provider Meta reasoning Not reported Reasoning effort xhigh Temperature 1 topP 1 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±5.03 pp sourcePopulation 30 stderr 5.029 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label meta/muse-spark-open Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/meta~1muse-spark-open` | | | | | | | | 19 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 41.56% | SE ±3.96 pp | $5.34 | 2,020.75source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 41.557 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 5.339965 \| USD \| per_test \| Lower is better \| \| `latency` \| 2020.752 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 512000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.96 pp sourcePopulation 30 stderr 3.959 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label minimax/MiniMax-M3 Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/lbo/minimax~1MiniMax-M3` | | | | | | | --- Cite as: EMB v1.1 / lbo — Benchize, https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Albo (retrieved 2026-10-21)