Mistral Medium 3
76.0%
no interval published
aiqbench · LLM benchmarks
Benchmarks
- Sources
- 8
- Entries tracked
- 22,318
- Last sync
- 36 min36 minutes ago
All sources syncing normally
- Arena · Text· 3 hours ago
- Arena · WebDev· 3 hours ago
- Arena · Vision· 3 hours ago
- Arena · Agent· 3 hours ago
- GPQA Diamond· 36 minutes ago
- SWE-bench· 36 minutes ago
- Terminal-Bench· 36 minutes ago
- ARC-AGI-2· 36 minutes ago
Filter by org:
Released:
Mistral Medium 3.1
68.3%
no interval published
Mistral Medium
49.1%
no interval published
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 | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 124 | Mistral Medium 3 | mistral | — | $0.40 / $2 | 76.0% | — | — | ||
| 170 | Mistral Medium 3.1 | mistral | — | $0.40 / $2 | 68.3% | — | — | ||
| 222 | Mistral Medium | mistral | Oct 2026 | — | 49.1% | — | #317–970 |
Showing MMLU-Pro (Artificial Analysis) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.