# Vals Multimodal Index / sage > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Asage. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Asage. Benchmark consisting of a weighted performance across finance, coding, and education tasks. Showing the potential impact that LLM's can have on the economy. Canonical URL: https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Asage 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. Benchmark consisting of a weighted performance across finance, coding, and education tasks. Showing the potential impact that LLM's can have on the economy. Multimodal · Models tested: 20 · Score publishers: Vals AI ## Model results | # | Model | Score | ± | Cost | Latency | | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Opus 4.7](https://benchize.com/models/claude-opus-4-7-max.md)Max | 56.1% | SE ±3.37 pp | $0.33 | 124.65source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 56.103 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.327557 \| USD \| per_test \| Lower is better \| \| `latency` \| 124.647 \| 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: ±3.37 pp sourcePopulation 33 stderr 3.368 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label anthropic/claude-opus-4-7 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/anthropic~1claude-opus-4-7` | | | | | | | | 2 | [Claude Opus 4.8](https://benchize.com/models/claude-opus-4-8-max.md)Max | 54.79% | SE ±3.35 pp | $0.47 | 185.59source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 54.788 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.47466 \| USD \| per_test \| Lower is better \| \| `latency` \| 185.594 \| 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: ±3.35 pp sourcePopulation 33 stderr 3.347 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label anthropic/claude-opus-4-8 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/anthropic~1claude-opus-4-8` | | | | | | | | 3 | [GPT-5.6 Sol](https://benchize.com/models/gpt-5-6-sol-max.md)Max | 52.56% | SE ±3.42 pp | $0.15 | 75.4source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.563 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.147977 \| USD \| per_test \| Lower is better \| \| `latency` \| 75.395 \| 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: ±3.42 pp sourcePopulation 33 stderr 3.416 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label openai/gpt-5.6-sol Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/openai~1gpt-5.6-sol` | | | | | | | | 4 | [Claude Fable 5](https://benchize.com/models/claude-fable-5-max.md)Max | 51.89% | SE ±3.4 pp | $0.62 | 116.92source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 51.89 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.618162 \| USD \| per_test \| Lower is better \| \| `latency` \| 116.916 \| 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: ±3.4 pp sourcePopulation 33 stderr 3.4 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label anthropic/claude-fable-5 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/anthropic~1claude-fable-5` | | | | | | | | 5 | [Gemini 3 Flash Preview](https://benchize.com/models/gemini-3-flash-preview-high.md)High | 51.85% | SE ±3.4 pp | $0.02 | 42.7source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 51.849 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.018229 \| USD \| per_test \| Lower is better \| \| `latency` \| 42.697 \| 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 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.4 pp sourcePopulation 33 stderr 3.404 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label google/gemini-3-flash-preview Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/google~1gemini-3-flash-preview` | | | | | | | | 6 | [GPT-5.5](https://benchize.com/models/gpt-5-5-xhigh.md)Extra high | 51.53% | SE ±3.95 pp | $0.13 | 76.05source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 51.532 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.130637 \| USD \| per_test \| Lower is better \| \| `latency` \| 76.05 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort xhigh Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.95 pp sourcePopulation 33 stderr 3.954 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label openai/gpt-5.5 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/openai~1gpt-5.5` | | | | | | | | 7 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 50.57% | SE ±3.44 pp | $0.03 | 118.54source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 50.574 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.025844 \| USD \| per_test \| Lower is better \| \| `latency` \| 118.538 \| 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: ±3.44 pp sourcePopulation 33 stderr 3.436 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label minimax/MiniMax-M3 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/minimax~1MiniMax-M3` | | | | | | | | 8 | [Gemini 3.5 Flash](https://benchize.com/models/gemini-3-5-flash-high.md)High | 49.89% | SE ±3.44 pp | $0.05 | 32.59source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 49.885 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.052555 \| USD \| per_test \| Lower is better \| \| `latency` \| 32.592 \| 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 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.44 pp sourcePopulation 33 stderr 3.438 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label google/gemini-3.5-flash Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/google~1gemini-3.5-flash` | | | | | | | | 9 | [Gemini 3.1 Flash Lite Preview](https://benchize.com/models/gemini-3-1-flash-lite-preview-high.md)High | 49.54% | SE ±3.48 pp | $0.00773 | 16.26source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 49.54 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.00773 \| USD \| per_test \| Lower is better \| \| `latency` \| 16.257 \| 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 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.48 pp sourcePopulation 33 stderr 3.484 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label google/gemini-3.1-flash-lite-preview Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/google~1gemini-3.1-flash-lite-preview` | | | | | | | | 10 | [Claude Opus 5](https://benchize.com/models/claude-opus-5-max.md)Max | 49.43% | SE ±3.29 pp | $0.19 | 56.17source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 49.426 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.192726 \| USD \| per_test \| Lower is better \| \| `latency` \| 56.168 \| 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: ±3.29 pp sourcePopulation 33 stderr 3.291 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label anthropic/claude-opus-5 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/anthropic~1claude-opus-5` | | | | | | | | 11 | [Claude Sonnet 5](https://benchize.com/models/claude-sonnet-5-max.md)Max | 48.93% | SE ±3.41 pp | $0.59 | 434.2source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 48.925 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.588528 \| USD \| per_test \| Lower is better \| \| `latency` \| 434.2 \| 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: ±3.41 pp sourcePopulation 33 stderr 3.405 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label anthropic/claude-sonnet-5 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/anthropic~1claude-sonnet-5` | | | | | | | | 12 | [Gemini 3.6 Flash](https://benchize.com/models/gemini-3-6-flash-high.md)High | 48.69% | SE ±3.38 pp | $0.05 | 21.96source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 48.686 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.045301 \| USD \| per_test \| Lower is better \| \| `latency` \| 21.96 \| 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 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.38 pp sourcePopulation 33 stderr 3.383 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label google/gemini-3.6-flash Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/google~1gemini-3.6-flash` | | | | | | | | 13 | [Gemini 3.1 Pro Preview](https://benchize.com/models/gemini-3-1-pro-preview-high.md)High | 48.68% | SE ±3.29 pp | $0.07 | 61.17source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 48.677 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.068908 \| USD \| per_test \| Lower is better \| \| `latency` \| 61.174 \| 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 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.29 pp sourcePopulation 33 stderr 3.293 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label google/gemini-3.1-pro-preview Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/google~1gemini-3.1-pro-preview` | | | | | | | | 14 | [Muse Spark 1.2](https://benchize.com/models/muse-spark-1-2-xhigh.md)Extra high | 47.66% | SE ±3.44 pp | $0.03 | 29.07source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 47.659 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.032261 \| USD \| per_test \| Lower is better \| \| `latency` \| 29.074 \| 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 Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.44 pp sourcePopulation 33 stderr 3.44 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/meta~1muse_spark_1_2` | | | | | | | | 15 | [GPT-5.6 Terra](https://benchize.com/models/gpt-5-6-terra-xhigh.md)Extra high | 47% | SE ±3.4 pp | $0.04 | 40.06source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 47.003 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.03724 \| USD \| per_test \| Lower is better \| \| `latency` \| 40.057 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort xhigh Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.4 pp sourcePopulation 33 stderr 3.403 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label openai/gpt-5.6-terra Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/openai~1gpt-5.6-terra` | | | | | | | | 16 | [Claude Sonnet 4.6](https://benchize.com/models/claude-sonnet-4-6-max.md)Max | 46.58% | SE ±3.43 pp | $0.23 | 163.37source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 46.582 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.234647 \| USD \| per_test \| Lower is better \| \| `latency` \| 163.365 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning true Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.43 pp sourcePopulation 33 stderr 3.43 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label anthropic/claude-sonnet-4-6 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/anthropic~1claude-sonnet-4-6` | | | | | | | | 17 | [Muse Spark 1.1](https://benchize.com/models/muse-spark-1-1-xhigh.md)Extra high | 45.58% | SE ±3.28 pp | $0.03 | 49.95source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 45.58 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.025502 \| USD \| per_test \| Lower is better \| \| `latency` \| 49.948 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 256000 provider Meta reasoning Not reported Reasoning effort xhigh Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.28 pp sourcePopulation 33 stderr 3.276 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_1 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/meta~1muse_spark_1_1` | | | | | | | | 18 | [GPT-5.6 Luna](https://benchize.com/models/gpt-5-6-luna-max.md)Max | 44.22% | SE ±3.33 pp | $0.01 | 51.88source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 44.22 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.01037 \| USD \| per_test \| Lower is better \| \| `latency` \| 51.878 \| 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: ±3.33 pp sourcePopulation 33 stderr 3.331 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label openai/gpt-5.6-luna Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/openai~1gpt-5.6-luna` | | | | | | | | 19 | [MiMo-V2.5](https://benchize.com/models/mimo-v2-5.md) | 43.27% | SE ±3.39 pp | $0.0044 | 52.66source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 43.265 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.004398 \| USD \| per_test \| Lower is better \| \| `latency` \| 52.66 \| 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: ±3.39 pp sourcePopulation 33 stderr 3.387 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label xiaomi/mimo-v2.5 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/xiaomi~1mimo-v2.5` | | | | | | | | 20 | [Mistral Medium 3.5](https://benchize.com/models/mistral-medium-3-5-high.md)High | 37.61% | SE ±3.36 pp | $0.07 | 55.84source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 37.613 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.072775 \| USD \| per_test \| Lower is better \| \| `latency` \| 55.844 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 80000 provider Mistral AI reasoning Not reported Reasoning effort high Temperature 0.7 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.36 pp sourcePopulation 33 stderr 3.356 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label mistralai/mistral-medium-3.5 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/sage/mistralai~1mistral-medium-3.5` | | | | | | | --- Cite as: Vals Multimodal Index / sage — Benchize, https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Asage (retrieved 2026-10-21)