# EMB v1.1 / dataroom > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Adataroom. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Adataroom. 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%3Adataroom 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 Fable 5.1](https://benchize.com/models/claude-fable-5-1-max.md)Max | 88.52% | SE ±3.16 pp | $10.87 | 1,370.44source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 88.518 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 10.865348 \| USD \| per_test \| Lower is better \| \| `latency` \| 1370.435 \| 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: ±3.16 pp sourcePopulation 30 stderr 3.161 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/dataroom/anthropic~1claude-fable-5-1` | | | | | | | | 2 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash-high.md)High | 87.8% | SE ±3.46 pp | $8.51 | 955.74source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.797 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 8.512634 \| USD \| per_test \| Lower is better \| \| `latency` \| 955.744 \| 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: ±3.46 pp sourcePopulation 30 stderr 3.459 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/dataroom/google~1gemini-3.8-flash` | | | | | | | | 3 | [Muse Wonder](https://benchize.com/models/muse-wonder-max.md)Max | 87.73% | SE ±3.19 pp | $5.37 | 835.94source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.732 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 5.374192 \| USD \| per_test \| Lower is better \| \| `latency` \| 835.941 \| 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: ±3.19 pp sourcePopulation 30 stderr 3.186 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/dataroom/meta~1muse-wonder` | | | | | | | | 4 | [Claude Sonnet 5.5](https://benchize.com/models/claude-sonnet-5-5-max.md)Max | 87.71% | SE ±3.55 pp | $7.86 | 2,042.34source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.706 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 7.856024 \| USD \| per_test \| Lower is better \| \| `latency` \| 2042.335 \| 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: ±3.55 pp sourcePopulation 30 stderr 3.554 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/dataroom/anthropic~1claude-sonnet-5-5` | | | | | | | | 5 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol-max.md)Max | 86.5% | SE ±3.4 pp | $0.78 | 757.82source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 86.498 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.775076 \| USD \| per_test \| Lower is better \| \| `latency` \| 757.817 \| 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: ±3.4 pp sourcePopulation 30 stderr 3.402 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/dataroom/openai~1gpt-6.1-sol` | | | | | | | | 6 | [DeepSeek V4.1 Flash 1017](https://benchize.com/models/deepseek-v4-1-flash-1017-max.md)Max | 86.5% | SE ±4.28 pp | $0.32 | 919.03source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 86.495 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.315607 \| USD \| per_test \| Lower is better \| \| `latency` \| 919.03 \| 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: ±4.28 pp sourcePopulation 30 stderr 4.278 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/dataroom/deepseek~1deepseek-v4.1-flash-1017` | | | | | | | | 7 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5-max.md)Max | 86.2% | SE ±4.62 pp | $7.83 | 1,493.03source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 86.197 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 7.825198 \| USD \| per_test \| Lower is better \| \| `latency` \| 1493.027 \| 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: ±4.62 pp sourcePopulation 30 stderr 4.622 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/dataroom/anthropic~1claude-opus-5-5` | | | | | | | | 8 | [MiMo-V2.6-Pro](https://benchize.com/models/mimo-v2-6-pro.md) | 86.06% | SE ±4.41 pp | $0.26 | 3,356.07source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 86.056 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.25859 \| USD \| per_test \| Lower is better \| \| `latency` \| 3356.071 \| 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: ±4.41 pp sourcePopulation 30 stderr 4.412 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/dataroom/xiaomi~1mimo-v2.6-pro` | | | | | | | | 9 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra-max.md)Max | 85.96% | SE ±3.53 pp | $4.72 | 619.46source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 85.964 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.722862 \| USD \| per_test \| Lower is better \| \| `latency` \| 619.459 \| 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: ±3.53 pp sourcePopulation 30 stderr 3.525 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/dataroom/openai~1gpt-6-astra` | | | | | | | | 10 | [Claude Haiku 5.5](https://benchize.com/models/claude-haiku-5-5-max.md)Max | 85.78% | SE ±3.66 pp | $1.41 | 1,325.14source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 85.779 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.408937 \| USD \| per_test \| Lower is better \| \| `latency` \| 1325.144 \| 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: ±3.66 pp sourcePopulation 30 stderr 3.659 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/dataroom/anthropic~1claude-haiku-5-5` | | | | | | | | 11 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon-high.md)High | 84.97% | SE ±4.56 pp | $7.11 | 1,426.81source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 84.974 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 7.109521 \| USD \| per_test \| Lower is better \| \| `latency` \| 1426.808 \| 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: ±4.56 pp sourcePopulation 30 stderr 4.561 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/dataroom/google~1gemini-4-argon` | | | | | | | | 12 | [Step 5 Preview](https://benchize.com/models/step-5-preview.md) | 83.69% | SE ±5.8 pp | $1.13 | 2,146.88source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 83.686 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.130429 \| USD \| per_test \| Lower is better \| \| `latency` \| 2146.883 \| 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: ±5.8 pp sourcePopulation 30 stderr 5.801 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/dataroom/stepfun~1step-5-preview` | | | | | | | | 13 | [MiMo-V2.6-Flash](https://benchize.com/models/mimo-v2-6-flash.md) | 82.62% | SE ±5.13 pp | $0.08 | 1,519.19source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 82.616 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.083356 \| USD \| per_test \| Lower is better \| \| `latency` \| 1519.189 \| 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 5.134 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/dataroom/xiaomi~1mimo-v2.6-flash` | | | | | | | | 14 | [GPT-6 Luna](https://benchize.com/models/gpt-6-luna-max.md)Max | 82.06% | SE ±5.29 pp | $0.08 | 687.98source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 82.064 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.083815 \| USD \| per_test \| Lower is better \| \| `latency` \| 687.984 \| 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: ±5.29 pp sourcePopulation 30 stderr 5.286 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-luna Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/dataroom/openai~1gpt-6-luna` | | | | | | | | 15 | [DeepSeek V4 Pro 0813](https://benchize.com/models/deepseek-v4-pro-0813-max.md)Max | 81.4% | SE ±5.38 pp | $0.96 | 1,827.69source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 81.398 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.962733 \| USD \| per_test \| Lower is better \| \| `latency` \| 1827.686 \| 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: ±5.38 pp sourcePopulation 30 stderr 5.376 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/dataroom/deepseek~1deepseek-v4-pro-0813` | | | | | | | | 16 | [MiniMax M3.1 Flash](https://benchize.com/models/minimax-m3-1-flash-max.md)Max | 80.22% | SE ±5.88 pp | $0.18 | 826.82source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 80.223 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.175491 \| USD \| per_test \| Lower is better \| \| `latency` \| 826.821 \| 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: ±5.88 pp sourcePopulation 30 stderr 5.877 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/dataroom/minimax~1MiniMax-M3.1-flash` | | | | | | | | 17 | [DeepSeek V4.1 Flash](https://benchize.com/models/deepseek-v4-1-flash-max.md)Max | 79.94% | SE ±5.96 pp | $0.2 | 695.25source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 79.935 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.196161 \| USD \| per_test \| Lower is better \| \| `latency` \| 695.253 \| 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: ±5.96 pp sourcePopulation 30 stderr 5.964 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/dataroom/deepseek~1deepseek-v4.1-flash` | | | | | | | | 18 | [Muse Spark Open](https://benchize.com/models/muse-spark-open-xhigh.md)Extra high | 79.54% | SE ±5.95 pp | $6.15 | 5,754.88source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 79.535 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 6.145752 \| USD \| per_test \| Lower is better \| \| `latency` \| 5754.881 \| 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: ±5.95 pp sourcePopulation 30 stderr 5.952 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/dataroom/meta~1muse-spark-open` | | | | | | | | 19 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 77.65% | SE ±5.76 pp | $2.21 | 1,231.36source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 77.645 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 2.2131 \| USD \| per_test \| Lower is better \| \| `latency` \| 1231.363 \| 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: ±5.76 pp sourcePopulation 30 stderr 5.761 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/dataroom/minimax~1MiniMax-M3` | | | | | | | --- Cite as: EMB v1.1 / dataroom — Benchize, https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Adataroom (retrieved 2026-10-21)