mistral-large-4-0
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aiqbench · LLM benchmarks
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One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | Interval | Swing | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | Add to compare | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 272 | mistral-large-4-0 | Mistral AI | — | $0.68 / $2.09 | 55.1 60.3Ranked 55.1 = (3 × 60.3 + 3 × 50) ÷ 6. 60.3 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 52–57 | 73 | 3/22 | #55–288 | — | — | — | — | — | — | — | 76 | 89 | — | 16 | — | — | — | — | — | — | — | — | — | — | — | ||
| 348 | mistral-large-4 | mistral | Oct 2026 | — | 52.3 54.1Ranked 52.3 = (4 × 54.1 + 3 × 50) ÷ 7. 54.1 is the mean percentile over the 4 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 49–56 | 50 | 4/22 | #51–348 | 75 | 73 | — | 43 | — | — | 25 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | ||
| 516 | mistral-large-3 | mistral | Oct 2025 | — | 47.1 45.9Ranked 47.1 = (7 × 45.9 + 3 × 50) ÷ 10. 45.9 is the mean percentile over the 7 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 46–49 | 62 | 7/22 | #132–516 | 67 | 9 | 46 | 44 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 70 | 54 | 31 | — | ||
| 606 | mistral-large-2411 | mistral | Nov 2024 | — | 44.2 41.7Ranked 44.2 = (7 × 41.7 + 3 × 50) ÷ 10. 41.7 is the mean percentile over the 7 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 42–46 | 86 | 7/22 | #239–606 | 35 | — | — | — | — | — | — | 36 | 23 | 7 | — | — | — | — | 40 | 59 | — | — | — | — | — | 93 | ||
| 722 | Mistral Large 2 (Nov '24) | mistral | — | — | 41.4 32.8Ranked 41.4 = (3 × 32.8 + 3 × 50) ÷ 6. 32.8 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | — | 21 | 3/22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 41 | 38 | 20 | — | ||
| 915 | mistral-large-2407 | mistral | Jul 2024 | $2 / $6 | 36.9 29.0Ranked 36.9 = (5 × 29.0 + 3 × 50) ÷ 8. 29.0 is the mean percentile over the 5 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 35–38 | 30 | 5/22 | #228–915 | 37 | — | — | — | — | — | — | 33 | 25 | — | — | — | — | 10 | 40 | — | — | — | — | — | — | — | ||
| 979 | mistral-large-2402 | mistral | Feb 2024 | — | 32.4 19.2Ranked 32.4 = (4 × 19.2 + 3 × 50) ÷ 7. 19.2 is the mean percentile over the 4 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 31–34 | 16 | 4/22 | #291–979 | 24 | — | — | — | — | — | — | 20 | 9 | — | — | — | — | — | 25 | — | — | — | — | — | — | — | ||
| 984 | mistral-large | Mistral | — | $2 / $6 | 32.1 14.1Ranked 32.1 = (3 × 14.1 + 3 × 50) ÷ 6. 14.1 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | — | 22 | 3/22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1 | — | — | — | 19 | 23 | — | — |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model