# EMB v1.1 / operating > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Aoperating. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Aoperating. 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%3Aoperating 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 Opus 5.5](https://benchize.com/models/claude-opus-5-5-max.md)Max | 77.74% | SE ±4.63 pp | $8.54 | 1,547.51source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 77.742 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 8.542039 \| USD \| per_test \| Lower is better \| \| `latency` \| 1547.508 \| 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: ±4.63 pp sourcePopulation 30 stderr 4.627 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/operating/anthropic~1claude-opus-5-5` | | | | | | | | 2 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra-max.md)Max | 75.51% | SE ±4.35 pp | $3.62 | 590.97source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 75.505 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.61903 \| USD \| per_test \| Lower is better \| \| `latency` \| 590.973 \| 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: ±4.35 pp sourcePopulation 30 stderr 4.345 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/operating/openai~1gpt-6-astra` | | | | | | | | 3 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1-max.md)Max | 75.18% | SE ±4.51 pp | $13.42 | 1,431.69source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 75.175 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 13.417399 \| USD \| per_test \| Lower is better \| \| `latency` \| 1431.686 \| 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: ±4.51 pp sourcePopulation 30 stderr 4.514 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/operating/anthropic~1claude-fable-5-1` | | | | | | | | 4 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol-max.md)Max | 74.42% | SE ±4.29 pp | $0.71 | 777.6source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.424 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.708017 \| USD \| per_test \| Lower is better \| \| `latency` \| 777.595 \| 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: ±4.29 pp sourcePopulation 30 stderr 4.286 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/operating/openai~1gpt-6.1-sol` | | | | | | | | 5 | [DeepSeek V4.1 Flash](https://benchize.com/models/deepseek-v4-1-flash-max.md)Max | 71.91% | SE ±4.86 pp | $0.21 | 687.31source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.911 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.206267 \| USD \| per_test \| Lower is better \| \| `latency` \| 687.305 \| 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: ±4.86 pp sourcePopulation 30 stderr 4.859 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/operating/deepseek~1deepseek-v4.1-flash` | | | | | | | | 6 | [MiMo-V2.6-Pro](https://benchize.com/models/mimo-v2-6-pro.md) | 71.56% | SE ±5.13 pp | $0.29 | 4,297.24source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.557 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.291384 \| USD \| per_test \| Lower is better \| \| `latency` \| 4297.238 \| 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: ±5.13 pp sourcePopulation 30 stderr 5.133 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/operating/xiaomi~1mimo-v2.6-pro` | | | | | | | | 7 | [Claude Sonnet 5.5](https://benchize.com/models/claude-sonnet-5-5-max.md)Max | 71.44% | SE ±7.17 pp | $7.81 | 2,013.79source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.435 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 7.810405 \| USD \| per_test \| Lower is better \| \| `latency` \| 2013.788 \| 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: ±7.17 pp sourcePopulation 30 stderr 7.166 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/operating/anthropic~1claude-sonnet-5-5` | | | | | | | | 8 | [GPT-6 Luna](https://benchize.com/models/gpt-6-luna-max.md)Max | 70.8% | SE ±4.56 pp | $0.07 | 730.61source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.796 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.070005 \| USD \| per_test \| Lower is better \| \| `latency` \| 730.612 \| 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: ±4.56 pp sourcePopulation 30 stderr 4.562 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/operating/openai~1gpt-6-luna` | | | | | | | | 9 | [Muse Wonder](https://benchize.com/models/muse-wonder-max.md)Max | 70.64% | SE ±5.18 pp | $4.82 | 917.12source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.638 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.824542 \| USD \| per_test \| Lower is better \| \| `latency` \| 917.117 \| 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: ±5.18 pp sourcePopulation 30 stderr 5.175 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/operating/meta~1muse-wonder` | | | | | | | | 10 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon-high.md)High | 69.92% | SE ±5.49 pp | $10.71 | 2,370.25source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.918 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 10.710486 \| USD \| per_test \| Lower is better \| \| `latency` \| 2370.247 \| 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: ±5.49 pp sourcePopulation 30 stderr 5.486 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/operating/google~1gemini-4-argon` | | | | | | | | 11 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash-high.md)High | 69.19% | SE ±5.56 pp | $6.43 | 621.68source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.19 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 6.429094 \| USD \| per_test \| Lower is better \| \| `latency` \| 621.677 \| 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: ±5.56 pp sourcePopulation 30 stderr 5.563 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/operating/google~1gemini-3.8-flash` | | | | | | | | 12 | [Step 5 Preview](https://benchize.com/models/step-5-preview.md) | 68.85% | SE ±4.45 pp | $1.05 | 2,211.96source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.853 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.049678 \| USD \| per_test \| Lower is better \| \| `latency` \| 2211.962 \| 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: ±4.45 pp sourcePopulation 30 stderr 4.445 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/operating/stepfun~1step-5-preview` | | | | | | | | 13 | [Muse Spark Open](https://benchize.com/models/muse-spark-open-xhigh.md)Extra high | 68.65% | SE ±5.16 pp | $4.2 | 4,388.69source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.645 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.195928 \| USD \| per_test \| Lower is better \| \| `latency` \| 4388.685 \| 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: ±5.16 pp sourcePopulation 30 stderr 5.159 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/operating/meta~1muse-spark-open` | | | | | | | | 14 | [DeepSeek V4 Pro 0813](https://benchize.com/models/deepseek-v4-pro-0813-max.md)Max | 68.18% | SE ±4.36 pp | $0.85 | 1,896.48source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.181 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.845142 \| USD \| per_test \| Lower is better \| \| `latency` \| 1896.479 \| 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: ±4.36 pp sourcePopulation 30 stderr 4.361 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/operating/deepseek~1deepseek-v4-pro-0813` | | | | | | | | 15 | [MiMo-V2.6-Flash](https://benchize.com/models/mimo-v2-6-flash.md) | 67.22% | SE ±3.96 pp | $0.08 | 1,022.35source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 67.22 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.083495 \| USD \| per_test \| Lower is better \| \| `latency` \| 1022.354 \| 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: ±3.96 pp sourcePopulation 30 stderr 3.96 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/operating/xiaomi~1mimo-v2.6-flash` | | | | | | | | 16 | [MiniMax M3.1 Flash](https://benchize.com/models/minimax-m3-1-flash-max.md)Max | 66.46% | SE ±4.79 pp | $0.19 | 861.2source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 66.456 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.189071 \| USD \| per_test \| Lower is better \| \| `latency` \| 861.196 \| 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: ±4.79 pp sourcePopulation 30 stderr 4.786 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/operating/minimax~1MiniMax-M3.1-flash` | | | | | | | | 17 | [DeepSeek V4.1 Flash 1017](https://benchize.com/models/deepseek-v4-1-flash-1017-max.md)Max | 65.97% | SE ±4.69 pp | $0.29 | 842.33source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 65.965 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.28596 \| USD \| per_test \| Lower is better \| \| `latency` \| 842.327 \| 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: ±4.69 pp sourcePopulation 30 stderr 4.694 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/operating/deepseek~1deepseek-v4.1-flash-1017` | | | | | | | | 18 | [Claude Haiku 5.5](https://benchize.com/models/claude-haiku-5-5-max.md)Max | 62.73% | SE ±7.53 pp | $1.38 | 1,172.53source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.734 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.37752 \| USD \| per_test \| Lower is better \| \| `latency` \| 1172.526 \| 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: ±7.53 pp sourcePopulation 30 stderr 7.533 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/operating/anthropic~1claude-haiku-5-5` | | | | | | | | 19 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 62.35% | SE ±5.35 pp | $1.87 | 1,106.78source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.347 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.873974 \| USD \| per_test \| Lower is better \| \| `latency` \| 1106.775 \| 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: ±5.35 pp sourcePopulation 30 stderr 5.35 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/operating/minimax~1MiniMax-M3` | | | | | | | --- Cite as: EMB v1.1 / operating — Benchize, https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Aoperating (retrieved 2026-10-21)