Ministral-8B-Instruct-2410: benchmark scores, price and ranking
Ministral-8B-Instruct-2410 from mistralai ranks #578 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.5), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- mistralai
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #578 of 743 (score 45.5)
Across the 1 benchmark where at least ten models are scored, Ministral-8B-Instruct-2410 is in the top 10% on 0 and in the top half on 0.
Ministral-8B-Instruct-2410 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 37.9% | #104 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About Ministral-8B-Instruct-2410
Ministral-8B-Instruct-2410 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 Ministral-8B-Instruct-2410 stands
On our aggregate score, Ministral-8B-Instruct-2410 is #578 of 743 ranked models, in the lower half. Its score is 45.5; the scale is centred on 50, so it sits 4.5 points below the typical model. That beats 22% of the ranked field. Among the 10 ranked mistralai models it is #9. The next one up is Mistral-Nemo-Base-2407 at 45.8. The next one down is Mistral-7B-Instruct-v0.2 at 44.6.
Ministral-8B-Instruct-2410, benchmark by benchmark
Ministral-8B-Instruct-2410 lands below the middle on MMLU-Pro: 37.9%, #104 of 136, with 76% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Qwen1.5-14B-Chat at 38.0%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Ministral-8B-Instruct-2410 is 17.3 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
- #575 qwen3-coder-next (45.5)
- #576 Qwen1.5-14B-Chat (45.5)
- #577 granite-4.1-30b (45.5)
- #579 c4ai-command-r-v01 (45.5)
- #580 qwen1.5-72b-chat (45.5)
- #581 Qwen3-Coder-480B-A35B-Instruct (45.5)
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