mistral-small-2501: benchmark scores, price and ranking

mistral-small-2501 from Mistral AI ranks #623 of 743 LLMs on the LLMs Tiger aggregate benchmark score (44.8), based on 2 benchmark results captured up to 2026-10-13.

Organisation: Mistral AI
Type: Open-weight / local model
Open weights: Yes
Released: 2025-01-25 (source: epoch)
Aggregate rank: #623 of 743 (score 44.8)

Across the 2 benchmarks where at least ten models are scored, mistral-small-2501 is in the top 10% on 0 and in the top half on 0.

mistral-small-2501 benchmark results

mistral-small-2501 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
GPQA Diamond	45.3%	#209 of 275	Epoch AI Benchmarking Hub	2026-10-13
OTIS Mock AIME	5.3%	#156 of 189	Epoch AI Benchmarking Hub	2026-10-13

About mistral-small-2501

mistral-small-2501 is an open-weight model that can run on your own hardware from Mistral AI. It was released on 2025-01-25, according to Epoch AI. No API price is listed for it yet. We hold 2 benchmark results for it across 1 area, and none is in the top tenth of its board.

Where mistral-small-2501 stands

On our aggregate score, mistral-small-2501 is #623 of 743 ranked models, in the lower half. Its score is 44.8; the scale is centred on 50, so it sits 5.2 points below the typical model. That beats 16% of the ranked field. Among the 44 ranked Mistral AI models it is #29. The next one up is mistral-small-3-2501 at 45.0. The next one down is mistral-small-3.1-2503 at 44.4.

mistral-small-2501, benchmark by benchmark

mistral-small-2501 lands below the middle on GPQA Diamond: 45.3%, #209 of 275, with 76% of the field scoring higher. GPT-6 Astra (max) leads at 95.8%; the closest result above is granite-4.1-30b at 45.8%. It covers expert-level science questions. The board median is 71.7%, so mistral-small-2501 is 26.4 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

OTIS Mock AIME is a weak spot. mistral-small-2501 scores 5.3%, #156 of 189, behind 82% of the models measured. The leader, Claude Fable 5.1 (max), reaches 100.0%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so mistral-small-2501 is 52.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Reasoning, maths and science: weak, ahead of 21% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#209 of 275) and its weakest is OTIS Mock AIME (#156 of 189).

Release history

The Mistral AI model released before it was Codestral 25.01 on 2025-01-13, which scores 47.2. The next one was mistral-small-3-2501 on 2025-01-30, at 45.0.

Reading these numbers

The 2 scores on this page come from 1 source: Epoch AI Benchmarking Hub (2). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

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