# Vals Multimodal Index / vibe code bench > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Avibe_code_bench. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Avibe_code_bench. 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%3Avibe_code_bench 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 | 93.47% | SE ±1.47 pp | $41.74 | 3,711.03source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 93.467 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 41.737416 \| USD \| per_test \| Lower is better \| \| `latency` \| 3711.026 \| 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: ±1.47 pp sourcePopulation 33 stderr 1.473 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/vibe_code_bench/anthropic~1claude-fable-5` | | | | | | | | 2 | [Claude Opus 4.8](https://benchize.com/models/claude-opus-4-8-max.md)Max | 89.87% | SE ±2.24 pp | $28.38 | 4,549.26source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 89.869 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 28.380692 \| USD \| per_test \| Lower is better \| \| `latency` \| 4549.256 \| 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: ±2.24 pp sourcePopulation 33 stderr 2.244 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/vibe_code_bench/anthropic~1claude-opus-4-8` | | | | | | | | 3 | [GPT-5.6 Sol](https://benchize.com/models/gpt-5-6-sol-max.md)Max | 89.34% | SE ±2.58 pp | $33.4 | 2,033.05source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 89.34 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 33.403634 \| USD \| per_test \| Lower is better \| \| `latency` \| 2033.047 \| 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: ±2.58 pp sourcePopulation 33 stderr 2.575 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/vibe_code_bench/openai~1gpt-5.6-sol` | | | | | | | | 4 | [Claude Sonnet 5](https://benchize.com/models/claude-sonnet-5-max.md)Max | 86.9% | SE ±3.47 pp | $38.08 | 4,001.42source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 86.902 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 38.07813 \| USD \| per_test \| Lower is better \| \| `latency` \| 4001.424 \| 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: ±3.47 pp sourcePopulation 33 stderr 3.468 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/vibe_code_bench/anthropic~1claude-sonnet-5` | | | | | | | | 5 | [Claude Opus 5](https://benchize.com/models/claude-opus-5.md) | 85.66% | SE ±6.08 pp | $34.09 | 3,900.6source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 85.664 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 34.089223 \| USD \| per_test \| Lower is better \| \| `latency` \| 3900.597 \| 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: ±6.08 pp sourcePopulation 33 stderr 6.078 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/vibe_code_bench/anthropic~1claude-opus-5` | | | | | | | | 6 | [Muse Spark 1.2](https://benchize.com/models/muse-spark-1-2.md) | 82.85% | SE ±4.14 pp | $1.53 | 1,195.22source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 82.854 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.529642 \| USD \| per_test \| Lower is better \| \| `latency` \| 1195.221 \| 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: ±4.14 pp sourcePopulation 33 stderr 4.137 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/vibe_code_bench/meta~1muse_spark_1_2` | | | | | | | | 7 | [GPT-5.6 Luna](https://benchize.com/models/gpt-5-6-luna-max.md)Max | 81.05% | SE ±3.01 pp | $0.75 | 1,551.83source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 81.053 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.748037 \| USD \| per_test \| Lower is better \| \| `latency` \| 1551.831 \| 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: ±3.01 pp sourcePopulation 33 stderr 3.009 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/vibe_code_bench/openai~1gpt-5.6-luna` | | | | | | | | 8 | [Claude Opus 4.7](https://benchize.com/models/claude-opus-4-7-max.md)Max | 77.7% | SE ±5.34 pp | $21.41 | 2,141.9source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 77.701 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 21.407199 \| USD \| per_test \| Lower is better \| \| `latency` \| 2141.902 \| 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: ±5.34 pp sourcePopulation 33 stderr 5.336 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/vibe_code_bench/anthropic~1claude-opus-4-7` | | | | | | | | 9 | [GPT-5.5](https://benchize.com/models/gpt-5-5-xhigh.md)Extra high | 77.1% | SE ±7.03 pp | $16.66 | 1,911.57source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 77.099 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 16.661911 \| USD \| per_test \| Lower is better \| \| `latency` \| 1911.567 \| 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: ±7.03 pp sourcePopulation 33 stderr 7.028 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/vibe_code_bench/openai~1gpt-5.5` | | | | | | | | 10 | [GPT-5.6 Terra](https://benchize.com/models/gpt-5-6-terra-xhigh.md)Extra high | 72.82% | SE ±7.59 pp | $4.6 | 959.5source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 72.818 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 4.596845 \| USD \| per_test \| Lower is better \| \| `latency` \| 959.495 \| 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: ±7.59 pp sourcePopulation 33 stderr 7.59 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/vibe_code_bench/openai~1gpt-5.6-terra` | | | | | | | | 11 | [Muse Spark 1.1](https://benchize.com/models/muse-spark-1-1-xhigh.md)Extra high | 72.41% | SE ±5.17 pp | $0.92 | 615.43source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 72.412 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.923283 \| USD \| per_test \| Lower is better \| \| `latency` \| 615.428 \| 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: ±5.17 pp sourcePopulation 33 stderr 5.168 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/vibe_code_bench/meta~1muse_spark_1_1` | | | | | | | | 12 | [Gemini 3.6 Flash](https://benchize.com/models/gemini-3-6-flash-high.md)High | 69.94% | SE ±6.27 pp | $3.04 | 1,523.2source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.941 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.041993 \| USD \| per_test \| Lower is better \| \| `latency` \| 1523.201 \| 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: ±6.27 pp sourcePopulation 33 stderr 6.273 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/vibe_code_bench/google~1gemini-3.6-flash` | | | | | | | | 13 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 56.54% | SE ±7.96 pp | $6.45 | 5,073.23source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 56.54 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 6.453899 \| USD \| per_test \| Lower is better \| \| `latency` \| 5073.23 \| 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: ±7.96 pp sourcePopulation 33 stderr 7.963 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/vibe_code_bench/minimax~1MiniMax-M3` | | | | | | | | 14 | [Claude Sonnet 4.6](https://benchize.com/models/claude-sonnet-4-6-max.md)Max | 56.22% | SE ±6.55 pp | $5.91 | 1,572.12source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 56.223 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 5.907892 \| USD \| per_test \| Lower is better \| \| `latency` \| 1572.118 \| 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: ±6.55 pp sourcePopulation 33 stderr 6.546 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/vibe_code_bench/anthropic~1claude-sonnet-4-6` | | | | | | | | 15 | [Gemini 3.5 Flash](https://benchize.com/models/gemini-3-5-flash-high.md)High | 54.71% | SE ±7 pp | $2.54 | 893.07source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 54.709 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 2.540385 \| USD \| per_test \| Lower is better \| \| `latency` \| 893.074 \| 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: ±7 pp sourcePopulation 33 stderr 7.002 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/vibe_code_bench/google~1gemini-3.5-flash` | | | | | | | | 16 | [MiMo-V2.5](https://benchize.com/models/mimo-v2-5.md) | 48.15% | SE ±6.09 pp | $0.07 | 1,580.35source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 48.148 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.068395 \| USD \| per_test \| Lower is better \| \| `latency` \| 1580.348 \| 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: ±6.09 pp sourcePopulation 33 stderr 6.086 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/vibe_code_bench/xiaomi~1mimo-v2.5` | | | | | | | | 17 | [Gemini 3.1 Pro Preview](https://benchize.com/models/gemini-3-1-pro-preview-high.md)High | 34.21% | SE ±6.44 pp | $3.83 | 1,211.91source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 34.214 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 3.825202 \| USD \| per_test \| Lower is better \| \| `latency` \| 1211.906 \| 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: ±6.44 pp sourcePopulation 33 stderr 6.444 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/vibe_code_bench/google~1gemini-3.1-pro-preview` | | | | | | | | 18 | [Gemini 3 Flash Preview](https://benchize.com/models/gemini-3-flash-preview-high.md)High | 21.95% | SE ±6.67 pp | $0.94 | 806.66source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 21.954 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.942067 \| USD \| per_test \| Lower is better \| \| `latency` \| 806.66 \| 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: ±6.67 pp sourcePopulation 33 stderr 6.673 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/vibe_code_bench/google~1gemini-3-flash-preview` | | | | | | | | 19 | [Mistral Medium 3.5](https://benchize.com/models/mistral-medium-3-5-high.md)High | 1.24% | SE ±1.24 pp | $16.74 | 2,470.53source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 1.24 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 16.735503 \| USD \| per_test \| Lower is better \| \| `latency` \| 2470.533 \| 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: ±1.24 pp sourcePopulation 33 stderr 1.24 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/vibe_code_bench/mistralai~1mistral-medium-3.5` | | | | | | | | 20 | [Gemini 3.1 Flash Lite Preview](https://benchize.com/models/gemini-3-1-flash-lite-preview-high.md)High | 0% | SE ±0 pp | $0.51 | 572.71source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 0 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.51 \| USD \| per_test \| Lower is better \| \| `latency` \| 572.711 \| 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 pp sourcePopulation 33 stderr 0 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/vibe_code_bench/google~1gemini-3.1-flash-lite-preview` | | | | | | | --- Cite as: Vals Multimodal Index / vibe code bench — Benchize, https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Avibe_code_bench (retrieved 2026-10-21)