mistral-small-3-2501: benchmark scores, price and ranking

mistral-small-3-2501 from Mistral AI ranks #609 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.0), based on 3 benchmark results captured up to 2026-10-13.

Organisation: Mistral AI
Type: Open-weight / local model
Open weights: Yes
Released: 2025-01-30 (source: epoch)
Aggregate rank: #609 of 743 (score 45.0)

Relative to other models, mistral-small-3-2501 is strongest on GPQA Diamond (#200 of 275) and weakest on Chess Puzzles (#118 of 122).

Across the 3 benchmarks where at least ten models are scored, mistral-small-3-2501 is in the top 10% on 0 and in the top half on 0.

mistral-small-3-2501 benchmark results

mistral-small-3-2501 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
GPQA Diamond	47.3%	#200 of 275	Epoch AI Benchmarking Hub	2026-10-13
OTIS Mock AIME	6.7%	#149 of 189	Epoch AI Benchmarking Hub	2026-10-13
Chess Puzzles	0.0%	#118 of 122	Epoch AI Benchmarking Hub	2026-10-13

About mistral-small-3-2501

mistral-small-3-2501 is an open-weight model that can run on your own hardware from Mistral AI. It was released on 2025-01-30, according to Epoch AI. No API price is listed for it yet. We hold 3 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where mistral-small-3-2501 stands

On our aggregate score, mistral-small-3-2501 is #609 of 743 ranked models, in the lower half. Its score is 45.0; the scale is centred on 50, so it sits 5.0 points below the typical model. That beats 18% of the ranked field. Among the 44 ranked Mistral AI models it is #28. The next one up is Mistral-Nemo-Instruct-2407 at 45.2. The next one down is mistral-small-2501 at 44.8.

mistral-small-3-2501, benchmark by benchmark

mistral-small-3-2501 lands below the middle on GPQA Diamond: 47.3%, #200 of 275, with 72% of the field scoring higher. GPT-6 Astra (max) leads at 95.8%; the closest result above is gemini-1.5-flash-002 at 47.3%. It covers expert-level science questions. The board median is 71.7%, so mistral-small-3-2501 is 24.4 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

mistral-small-3-2501 lands below the middle on OTIS Mock AIME: 6.7%, #149 of 189, with 78% of the field scoring higher. Claude Fable 5.1 (max) leads at 100.0%; the closest result above is gpt-4-turbo-2024-04-09 at 6.7%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so mistral-small-3-2501 is 51.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Chess Puzzles is a weak spot. mistral-small-3-2501 scores 0.0%, #118 of 122, behind 96% of the models measured. The leader, GPT-6 Astra (max), reaches 72.0%. It covers chess tactics puzzles. The board median is 12.5%, so mistral-small-3-2501 is 12.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Reasoning, maths and science: weak, ahead of 24% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#200 of 275) and its weakest is OTIS Mock AIME (#149 of 189).

Release history

The Mistral AI model released before it was mistral-small-2501 on 2025-01-25, which scores 44.8. The next one was mistral-small-2503 on 2025-03-17, at 41.9.

Reading these numbers

The 3 scores on this page come from 1 source: Epoch AI Benchmarking Hub (3). No official leaderboard supplied any of them, so treat them as third-party measurements. With 3 results the aggregate rank can move a lot when one new score arrives.

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