# Vals Multimodal Index / overall > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Aoverall. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Aoverall. 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%3Aoverall 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 Fable 5](https://benchize.com/models/claude-fable-5-max.md)Max | 74.15% | SE ±0.57 pp | $7.97 | 769.49source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.154 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 7.972213 \| USD \| per_test \| Lower is better \| \| `latency` \| 769.489 \| 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: ±0.57 pp sourcePopulation 33 stderr 0.567 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/overall/anthropic~1claude-fable-5` | | | | | | | | 2 | [Claude Opus 5](https://benchize.com/models/claude-opus-5.md) | 73.9% | SE ±1.24 pp | $6.14 | 853.76source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 73.896 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 6.136905 \| USD \| per_test \| Lower is better \| \| `latency` \| 853.761 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Anthropic reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.24 pp sourcePopulation 33 stderr 1.243 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/overall/anthropic~1claude-opus-5` | | | | | | | | 3 | [GPT-5.6 Sol](https://benchize.com/models/gpt-5-6-sol-max.md)Max | 72.64% | SE ±0.68 pp | $5.36 | 550.77source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 72.64 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 5.357844 \| USD \| per_test \| Lower is better \| \| `latency` \| 550.773 \| 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: ±0.68 pp sourcePopulation 33 stderr 0.676 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/overall/openai~1gpt-5.6-sol` | | | | | | | | 4 | [Claude Opus 4.8](https://benchize.com/models/claude-opus-4-8-max.md)Max | 70.89% | SE ±0.74 pp | $5.46 | 979.85source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 70.889 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 5.455981 \| USD \| per_test \| Lower is better \| \| `latency` \| 979.847 \| 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: ±0.74 pp sourcePopulation 33 stderr 0.744 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/overall/anthropic~1claude-opus-4-8` | | | | | | | | 5 | [Muse Spark 1.2](https://benchize.com/models/muse-spark-1-2.md) | 69.8% | SE ±0.99 pp | $0.51 | 445.98source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.796 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.506189 \| USD \| per_test \| Lower is better \| \| `latency` \| 445.979 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Meta reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.99 pp sourcePopulation 33 stderr 0.989 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/overall/meta~1muse_spark_1_2` | | | | | | | | 6 | [GPT-5.6 Luna](https://benchize.com/models/gpt-5-6-luna-max.md)Max | 69.06% | SE ±0.76 pp | $0.16 | 406.66source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.058 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.160787 \| USD \| per_test \| Lower is better \| \| `latency` \| 406.659 \| 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: ±0.76 pp sourcePopulation 33 stderr 0.761 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/overall/openai~1gpt-5.6-luna` | | | | | | | | 7 | [Claude Sonnet 5](https://benchize.com/models/claude-sonnet-5-max.md)Max | 68.83% | SE ±0.91 pp | $6.53 | 1,012.04source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.826 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 6.532939 \| USD \| per_test \| Lower is better \| \| `latency` \| 1012.043 \| 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: ±0.91 pp sourcePopulation 33 stderr 0.909 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/overall/anthropic~1claude-sonnet-5` | | | | | | | | 8 | [GPT-5.5](https://benchize.com/models/gpt-5-5-xhigh.md)Extra high | 68.07% | SE ±1.42 pp | $3.32 | 503.75source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.071 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.317135 \| USD \| per_test \| Lower is better \| \| `latency` \| 503.747 \| 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: ±1.42 pp sourcePopulation 33 stderr 1.419 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/overall/openai~1gpt-5.5` | | | | | | | | 9 | [Claude Opus 4.7](https://benchize.com/models/claude-opus-4-7-high.md)High | 67.36% | SE ±1.16 pp | $4.44 | 564.06source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 67.361 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.44122 \| USD \| per_test \| Lower is better \| \| `latency` \| 564.055 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort high harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.16 pp sourcePopulation 33 stderr 1.162 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/overall/anthropic~1claude-opus-4-7` | | | | | | | | 10 | [Muse Spark 1.1](https://benchize.com/models/muse-spark-1-1-xhigh.md)Extra high | 66.74% | SE ±1.15 pp | $0.36 | 288.19source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 66.742 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.363107 \| USD \| per_test \| Lower is better \| \| `latency` \| 288.194 \| 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: ±1.15 pp sourcePopulation 33 stderr 1.151 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/overall/meta~1muse_spark_1_1` | | | | | | | | 11 | [Gemini 3.6 Flash](https://benchize.com/models/gemini-3-6-flash-high.md)High | 65.08% | SE ±1.35 pp | $1.02 | 535.66source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 65.077 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.023831 \| USD \| per_test \| Lower is better \| \| `latency` \| 535.655 \| 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: ±1.35 pp sourcePopulation 33 stderr 1.353 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/overall/google~1gemini-3.6-flash` | | | | | | | | 12 | [GPT-5.6 Terra](https://benchize.com/models/gpt-5-6-terra-xhigh.md)Extra high | 65.07% | SE ±1.57 pp | $0.8 | 258.09source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 65.07 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.800829 \| USD \| per_test \| Lower is better \| \| `latency` \| 258.088 \| 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: ±1.57 pp sourcePopulation 33 stderr 1.571 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/overall/openai~1gpt-5.6-terra` | | | | | | | | 13 | [Gemini 3.5 Flash](https://benchize.com/models/gemini-3-5-flash-high.md)High | 62.93% | SE ±1.46 pp | $1.01 | 266.49source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.928 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.011224 \| USD \| per_test \| Lower is better \| \| `latency` \| 266.485 \| 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: ±1.46 pp sourcePopulation 33 stderr 1.464 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/overall/google~1gemini-3.5-flash` | | | | | | | | 14 | [Claude Sonnet 4.6](https://benchize.com/models/claude-sonnet-4-6-max.md)Max | 60.57% | SE ±1.39 pp | $1.58 | 536.04source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 60.571 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.576917 \| USD \| per_test \| Lower is better \| \| `latency` \| 536.038 \| 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: ±1.39 pp sourcePopulation 33 stderr 1.385 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/overall/anthropic~1claude-sonnet-4-6` | | | | | | | | 15 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 59.97% | SE ±1.65 pp | $1.08 | 1,076.24source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 59.974 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.076447 \| USD \| per_test \| Lower is better \| \| `latency` \| 1076.237 \| 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: ±1.65 pp sourcePopulation 33 stderr 1.646 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/overall/minimax~1MiniMax-M3` | | | | | | | | 16 | [Gemini 3.1 Pro Preview](https://benchize.com/models/gemini-3-1-pro-preview-high.md)High | 56.07% | SE ±1.41 pp | $0.98 | 322.91source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 56.068 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.977777 \| USD \| per_test \| Lower is better \| \| `latency` \| 322.907 \| 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: ±1.41 pp sourcePopulation 33 stderr 1.406 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/overall/google~1gemini-3.1-pro-preview` | | | | | | | | 17 | [MiMo-V2.5](https://benchize.com/models/mimo-v2-5.md) | 52.77% | SE ±1.42 pp | $0.03 | 430.31source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.767 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.029291 \| USD \| per_test \| Lower is better \| \| `latency` \| 430.314 \| 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: ±1.42 pp sourcePopulation 33 stderr 1.419 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/overall/xiaomi~1mimo-v2.5` | | | | | | | | 18 | [Gemini 3 Flash Preview](https://benchize.com/models/gemini-3-flash-preview-high.md)High | 52.19% | SE ±1.41 pp | $0.29 | 260.28source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.187 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.28728 \| USD \| per_test \| Lower is better \| \| `latency` \| 260.281 \| 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: ±1.41 pp sourcePopulation 33 stderr 1.414 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/overall/google~1gemini-3-flash-preview` | | | | | | | | 19 | [Gemini 3.1 Flash Lite Preview](https://benchize.com/models/gemini-3-1-flash-lite-preview-high.md)High | 41.35% | SE ±0.66 pp | $0.12 | 152.43source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 41.352 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.123381 \| USD \| per_test \| Lower is better \| \| `latency` \| 152.434 \| 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: ±0.66 pp sourcePopulation 33 stderr 0.661 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/overall/google~1gemini-3.1-flash-lite-preview` | | | | | | | | 20 | [Mistral Medium 3.5](https://benchize.com/models/mistral-medium-3-5-high.md)High | 34.77% | SE ±0.83 pp | $3.45 | 734.7source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 34.768 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.453606 \| USD \| per_test \| Lower is better \| \| `latency` \| 734.703 \| 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: ±0.83 pp sourcePopulation 33 stderr 0.833 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/overall/mistralai~1mistral-medium-3.5` | | | | | | | --- Cite as: Vals Multimodal Index / overall — Benchize, https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Aoverall (retrieved 2026-10-21)