Mixtral-8x7B-v0.1: benchmark scores, price and ranking
Mixtral-8x7B-v0.1 from mistralai ranks #550 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.9), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- mistralai
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #550 of 743 (score 45.9)
Across the 1 benchmark where at least ten models are scored, Mixtral-8x7B-v0.1 is in the top 10% on 0 and in the top half on 0.
Mixtral-8x7B-v0.1 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 41.0% | #96 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About Mixtral-8x7B-v0.1
Mixtral-8x7B-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 Mixtral-8x7B-v0.1 stands
On our aggregate score, Mixtral-8x7B-v0.1 is #550 of 743 ranked models, in the lower half. Its score is 45.9; the scale is centred on 50, so it sits 4.1 points below the typical model. That beats 26% of the ranked field. Among the 10 ranked mistralai models it is #7. The next one up is Mathstral-7B-v0.1 at 46.1. The next one down is Mistral-Nemo-Base-2407 at 45.8.
Mixtral-8x7B-v0.1, benchmark by benchmark
Mixtral-8x7B-v0.1 lands below the middle on MMLU-Pro: 41.0%, #96 of 136, with 70% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is DeepSeek-Coder-V2-Lite-Instruct at 41.6%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Mixtral-8x7B-v0.1 is 14.2 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
- #547 o3-mini-2025-01-31 (low) (46.0)
- #548 nvidia.nemotron-nano-9b-v2 (46.0)
- #549 Gemini 2.0 Flash Thinking Exp (45.9)
- #551 dbrx-instruct (45.9)
- #552 MAmmoTH2-7B-Plus (45.9)
- #553 Llama-3.2-90B-Vision-Instruct (45.9)
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)
- Mathstral-7B-v0.1 (#540, 46.1)
Compare it on the live leaderboard → · How the aggregate score works