Mathstral-7B-v0.1: benchmark scores, price and ranking
Mathstral-7B-v0.1 from mistralai ranks #540 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.1), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- mistralai
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #540 of 743 (score 46.1)
Across the 1 benchmark where at least ten models are scored, Mathstral-7B-v0.1 is in the top 10% on 0 and in the top half on 0.
Mathstral-7B-v0.1 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 42.0% | #93 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About Mathstral-7B-v0.1
Mathstral-7B-v0.1 is an open-weight model that can run on your own hardware from mistralai. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Mathstral-7B-v0.1 stands
On our aggregate score, Mathstral-7B-v0.1 is #540 of 743 ranked models, in the lower half. Its score is 46.1; the scale is centred on 50, so it sits 3.9 points below the typical model. That beats 27% of the ranked field. Among the 10 ranked mistralai models it is #6. The next one up is Mistral-Small-Instruct-2409 at 46.9. The next one down is Mixtral-8x7B-v0.1 at 45.9.
Mathstral-7B-v0.1, benchmark by benchmark
Mathstral-7B-v0.1 lands below the middle on MMLU-Pro: 42.0%, #93 of 136, with 68% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Yi-34B at 43.0%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Mathstral-7B-v0.1 is 13.3 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #537 Gemini 2.0 Flash (Feb 2025) (46.1)
- #538 Claude Sonnet 4 (unknown thinking) (46.1)
- #539 gemma2:27b-instruct-q8_0 (46.1)
- #541 MiMo-7B-Base (46.0)
- #542 open-mixtral-8x22b (46.0)
- #543 SWE-1.6 (46.0)
More from mistralai
- Mistral-Small-4-119B-2603 (#226, 49.9)
- Mistral-Large-Instruct-2411 (#254, 49.6)
- Mistral-Large-Instruct-2407 (#280, 49.3)
- Mistral-Small-24B-Base-2501 (#408, 47.7)
- Mistral-Small-Instruct-2409 (#474, 46.9)
- Mixtral-8x7B-v0.1 (#550, 45.9)
Compare it on the live leaderboard → · How the aggregate score works