# Mistral Large 2407

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Mistral AI

Canonical URL: https://benchize.com/models/mistral-large-2407
Last updated: Thu, 22 Oct 2026 08:00:11 GMT

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Mistral AI

## Benchmarks

| Benchmark | Score | ± | Rank | Source |  |
| --- | --- | --- | --- | --- | --- |
| [EQ-Bench v2](https://benchize.com/benchmarks/eq-bench%3Aeqbench-v2.md) | 85.05% | — | 1 / 18 | [eq bench · eqbench-v2](https://eqbench.com/eqbench-v2.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 85.05 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol eqbench-v2 sourceModelVersion mistral-large-2407 ### Source [Original source](https://eqbench.com/eqbench-v2.js) Source eq bench Original model label mistral-large-2407 Source version eqbench-v2 Observed 2026-10-22T05:10:05.138Z Evidence SHA-256 `088fe07c18b4347c82113934c58bb801cdb21adfe80852c7d0854e9818749dcd` Source locator `/leaderboardDataEqbench/146` |  |  |  |  |  |
| [MATH Level 5](https://benchize.com/benchmarks/epoch-ai%3Amath_level_5.md) | 44.82% | SE ±1.07 pp | 17 / 21 | [epoch ai · MATH level 5](https://epoch.ai/data/benchmark_data.zip#file=math_level_5.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.4481684290030212 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.4481684290030212 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion MATH level 5 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion mistral-large-2407 ### Reported statistics Uncertainty Standard error: ±1.07 pp standardError 0.010703488686415494 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=math_level_5.csv) Source epoch ai Original model label mistral-large-2407 Source version MATH level 5 Evaluated 2025-01-27T00:00:00.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `041b4bcb991a81d66152327113ef6d38e64cd8cce93d1e6ec821d1b9e47c1de3` Source locator `/rows/96` |  |  |  |  |  |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 49.02% | SE ±2.59 pp | 108 / 126 | [epoch ai · GPQA diamond](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.49021464646464646 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.49021464646464646 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion mistral-large-2407 ### Reported statistics Uncertainty Standard error: ±2.59 pp standardError 0.025918840988656967 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label mistral-large-2407 Source version GPQA diamond Evaluated 2025-01-27T00:00:00.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/314` |  |  |  |  |  |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 8.47% | SE ±2.47 pp | 113 / 124 | [epoch ai · OTIS Mock AIME 2024-2025](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.08472222222222223 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.08472222222222223 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion mistral-large-2407 ### Reported statistics Uncertainty Standard error: ±2.47 pp standardError 0.024742642797709363 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label mistral-large-2407 Source version OTIS Mock AIME 2024-2025 Evaluated 2025-02-25T11:59:42.758Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/303` |  |  |  |  |  |
| [MAGI-Hard](https://benchize.com/benchmarks/eq-bench%3Amagi-hard.md) | 72.37% | — | 5 / 14 | [eq bench · magi-hard](https://eqbench.com/eqbench-v2.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 72.37 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol magi-hard sourceModelVersion mistral-large-2407 ### Source [Original source](https://eqbench.com/eqbench-v2.js) Source eq bench Original model label mistral-large-2407 Source version magi-hard Observed 2026-10-22T05:10:05.138Z Evidence SHA-256 `088fe07c18b4347c82113934c58bb801cdb21adfe80852c7d0854e9818749dcd` Source locator `/leaderboardDataMagi/138` |  |  |  |  |  |
| [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,477 | — | 77 / 191 | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1477 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_mistralai_mistral_large_2407 ### Reported statistics coverageCount 27 draws 5 judged 88 losses 39 rank 104 ratingDeviation 28 wins 44 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label Mistral Large 2407 Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/100` |  |  |  |  |  |

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Cite as: Mistral Large 2407 — Benchize, https://benchize.com/models/mistral-large-2407 (retrieved 2026-10-22)