# EMB v1.1 / dcf > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Adcf. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Adcf. 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%3Adcf 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 | 72.97% | SE ±6.73 pp | $9.08 | 2,289.8source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 72.971 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 9.078529 \| USD \| per_test \| Lower is better \| \| `latency` \| 2289.802 \| 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: ±6.73 pp sourcePopulation 30 stderr 6.726 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/dcf/anthropic~1claude-sonnet-5-5` | | | | | | | | 2 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1-max.md)Max | 71.52% | SE ±6.77 pp | $16.13 | 1,488.13source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.518 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 16.129755 \| USD \| per_test \| Lower is better \| \| `latency` \| 1488.127 \| 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: ±6.77 pp sourcePopulation 30 stderr 6.765 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/dcf/anthropic~1claude-fable-5-1` | | | | | | | | 3 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5-max.md)Max | 69.87% | SE ±7.69 pp | $9.33 | 1,663.97source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.87 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 9.328331 \| USD \| per_test \| Lower is better \| \| `latency` \| 1663.966 \| 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: ±7.69 pp sourcePopulation 30 stderr 7.694 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label anthropic/claude-opus-5-5 Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/dcf/anthropic~1claude-opus-5-5` | | | | | | | | 4 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol-max.md)Max | 67.13% | SE ±7.86 pp | $0.76 | 784.13source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 67.129 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.759726 \| USD \| per_test \| Lower is better \| \| `latency` \| 784.133 \| 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: ±7.86 pp sourcePopulation 30 stderr 7.86 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/dcf/openai~1gpt-6.1-sol` | | | | | | | | 5 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash-high.md)High | 66.12% | SE ±6.89 pp | $6.77 | 673.25source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 66.115 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 6.77049 \| USD \| per_test \| Lower is better \| \| `latency` \| 673.252 \| 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: ±6.89 pp sourcePopulation 30 stderr 6.886 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/dcf/google~1gemini-3.8-flash` | | | | | | | | 6 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra-max.md)Max | 66.03% | SE ±7.64 pp | $4.11 | 649.61source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 66.027 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.111119 \| USD \| per_test \| Lower is better \| \| `latency` \| 649.606 \| 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: ±7.64 pp sourcePopulation 30 stderr 7.642 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/dcf/openai~1gpt-6-astra` | | | | | | | | 7 | [Step 5 Preview](https://benchize.com/models/step-5-preview.md) | 65.83% | SE ±6.9 pp | $1.21 | 2,762.16source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 65.831 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.211646 \| USD \| per_test \| Lower is better \| \| `latency` \| 2762.159 \| 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: ±6.9 pp sourcePopulation 30 stderr 6.896 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/dcf/stepfun~1step-5-preview` | | | | | | | | 8 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon-high.md)High | 65.55% | SE ±7.01 pp | $12.25 | 2,275.27source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 65.549 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 12.254499 \| USD \| per_test \| Lower is better \| \| `latency` \| 2275.267 \| 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: ±7.01 pp sourcePopulation 30 stderr 7.008 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/dcf/google~1gemini-4-argon` | | | | | | | | 9 | [GPT-6 Luna](https://benchize.com/models/gpt-6-luna-max.md)Max | 64.83% | SE ±7.56 pp | $0.11 | 1,209.68source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 64.83 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.105228 \| USD \| per_test \| Lower is better \| \| `latency` \| 1209.678 \| 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: ±7.56 pp sourcePopulation 30 stderr 7.563 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_emb_v1_1.11L06J7L.json) Source Vals AI Original model label openai/gpt-6-luna Source version 1.1 Observed 2026-10-21T16:45:55.456Z Evidence SHA-256 `eea2ef2c83a6dc7d553c7c6531c287710ea7ffbc56ee1ccec06c85b104b2408e` Source locator `/tasks/dcf/openai~1gpt-6-luna` | | | | | | | | 10 | [MiMo-V2.6-Pro](https://benchize.com/models/mimo-v2-6-pro.md) | 64.79% | SE ±6.61 pp | $0.31 | 2,025.65source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 64.792 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.306338 \| USD \| per_test \| Lower is better \| \| `latency` \| 2025.653 \| 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: ±6.61 pp sourcePopulation 30 stderr 6.607 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/dcf/xiaomi~1mimo-v2.6-pro` | | | | | | | | 11 | [Muse Wonder](https://benchize.com/models/muse-wonder-max.md)Max | 63.67% | SE ±7.15 pp | $5.12 | 968.13source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.666 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 5.11822 \| USD \| per_test \| Lower is better \| \| `latency` \| 968.128 \| 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: ±7.15 pp sourcePopulation 30 stderr 7.151 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/dcf/meta~1muse-wonder` | | | | | | | | 12 | [Claude Haiku 5.5](https://benchize.com/models/claude-haiku-5-5-max.md)Max | 63.08% | SE ±8.62 pp | $1.41 | 1,213.85source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.077 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.408154 \| USD \| per_test \| Lower is better \| \| `latency` \| 1213.846 \| 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: ±8.62 pp sourcePopulation 30 stderr 8.618 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/dcf/anthropic~1claude-haiku-5-5` | | | | | | | | 13 | [MiMo-V2.6-Flash](https://benchize.com/models/mimo-v2-6-flash.md) | 61.62% | SE ±7.18 pp | $0.11 | 1,395.59source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 61.621 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.114439 \| USD \| per_test \| Lower is better \| \| `latency` \| 1395.594 \| 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: ±7.18 pp sourcePopulation 30 stderr 7.18 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/dcf/xiaomi~1mimo-v2.6-flash` | | | | | | | | 14 | [DeepSeek V4.1 Flash](https://benchize.com/models/deepseek-v4-1-flash-max.md)Max | 59.85% | SE ±7.04 pp | $0.24 | 832.09source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 59.853 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.237125 \| USD \| per_test \| Lower is better \| \| `latency` \| 832.088 \| 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: ±7.04 pp sourcePopulation 30 stderr 7.038 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/dcf/deepseek~1deepseek-v4.1-flash` | | | | | | | | 15 | [DeepSeek V4.1 Flash 1017](https://benchize.com/models/deepseek-v4-1-flash-1017-max.md)Max | 59.71% | SE ±7.04 pp | $0.34 | 3,628.58source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 59.71 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.336662 \| USD \| per_test \| Lower is better \| \| `latency` \| 3628.584 \| 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: ±7.04 pp sourcePopulation 30 stderr 7.04 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/dcf/deepseek~1deepseek-v4.1-flash-1017` | | | | | | | | 16 | [MiniMax M3.1 Flash](https://benchize.com/models/minimax-m3-1-flash-max.md)Max | 58.74% | SE ±6.7 pp | $0.24 | 2,759.4source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.739 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.244351 \| USD \| per_test \| Lower is better \| \| `latency` \| 2759.397 \| 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: ±6.7 pp sourcePopulation 30 stderr 6.7 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/dcf/minimax~1MiniMax-M3.1-flash` | | | | | | | | 17 | [DeepSeek V4 Pro 0813](https://benchize.com/models/deepseek-v4-pro-0813-max.md)Max | 58.08% | SE ±6.33 pp | $0.99 | 2,340.58source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.083 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.986264 \| USD \| per_test \| Lower is better \| \| `latency` \| 2340.579 \| 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: ±6.33 pp sourcePopulation 30 stderr 6.333 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/dcf/deepseek~1deepseek-v4-pro-0813` | | | | | | | | 18 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 52.93% | SE ±6.29 pp | $3.12 | 1,306.13source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.925 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.115677 \| USD \| per_test \| Lower is better \| \| `latency` \| 1306.134 \| 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: ±6.29 pp sourcePopulation 30 stderr 6.285 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/dcf/minimax~1MiniMax-M3` | | | | | | | | 19 | [Muse Spark Open](https://benchize.com/models/muse-spark-open-xhigh.md)Extra high | 49.91% | SE ±7.26 pp | $4.65 | 5,120.53source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 49.913 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.653132 \| USD \| per_test \| Lower is better \| \| `latency` \| 5120.532 \| 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: ±7.26 pp sourcePopulation 30 stderr 7.255 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/dcf/meta~1muse-spark-open` | | | | | | | --- Cite as: EMB v1.1 / dcf — Benchize, https://benchize.com/benchmarks/vals-ai%3Aemb-v1-1%3Adcf (retrieved 2026-10-21)