LLMs TigerLive LLM benchmarks

Mistral Small 3.2: benchmark scores, price and ranking

Mistral Small 3.2 from Mistral AI ranks #655 of 743 LLMs on the LLMs Tiger aggregate benchmark score (44.0), based on 4 benchmark results captured up to 2026-10-13.

Organisation
Mistral AI
Type
Open-weight / local model
Open weights
Yes
Released
2025-06-20 (source: epoch)
Aggregate rank
#655 of 743 (score 44.0)

Relative to other models, Mistral Small 3.2 is strongest on Epoch ECI (#83 of 204) and weakest on CritPt (#107 of 115).

Across the 4 benchmarks where at least ten models are scored, Mistral Small 3.2 is in the top 10% on 0 and in the top half on 1.

Mistral Small 3.2 benchmark results

Mistral Small 3.2 benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
Epoch ECI132#83 of 204Epoch AI Benchmarking Hub2026-10-13
DTBench59.9%#104 of 146Epoch AI Benchmarking Hub2026-10-13
SciCode26.4%#95 of 106Epoch AI Benchmarking Hub2026-10-13
CritPt0.0%#107 of 115Epoch AI Benchmarking Hub2026-10-13

About Mistral Small 3.2

Mistral Small 3.2 is an open-weight model that can run on your own hardware from Mistral AI. It was released on 2025-06-20, according to Epoch AI. No API price is listed for it yet. We hold 4 benchmark results for it across 4 areas, and none is in the top tenth of its board.

Where Mistral Small 3.2 stands

On our aggregate score, Mistral Small 3.2 is #655 of 743 ranked models, in the lower half. Its score is 44.0; the scale is centred on 50, so it sits 6.0 points below the typical model. That beats 12% of the ranked field. Among the 44 ranked Mistral AI models it is #31. The next one up is mistral-small-3.1-2503 at 44.4. The next one down is Magistral Small 1.2 at 43.8.

Mistral Small 3.2, benchmark by benchmark

Epoch ECI puts Mistral Small 3.2 at 132, #83 of 204. That beats 59% of the models tested, but 25 points short of Qwen 3.8 Max (156). The results either side are Llama 4 Maverick (132) and Gemini 1.5 Pro (Sept 2024) (132). It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Mistral Small 3.2 is 4 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Mistral Small 3.2 lands below the middle on DTBench: 59.9%, #104 of 146, with 71% of the field scoring higher. Claude Opus 5.5 (max) leads at 98.9%; the closest result above is Llama-3.1-70B-Instruct at 60.0%. It covers dynamic tool-use benchmark. The board median is 68.8%, so Mistral Small 3.2 is 8.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

SciCode is a weak spot. Mistral Small 3.2 scores 26.4%, #95 of 106, behind 89% of the models measured. The leader, Claude Opus 5.5 (max), reaches 66.9%. It covers scientific research code. The board median is 44.3%, so Mistral Small 3.2 is 17.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

CritPt is a weak spot. Mistral Small 3.2 scores 0.0%, #107 of 115, behind 92% of the models measured. The leader, GPT-5.6 Sol (max), reaches 32.3%. It covers unpublished research-level physics problems. The board median is 2.9%, so Mistral Small 3.2 is 2.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Mistral Small 3.2 has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Release history

The Mistral AI model released before it was magistral-small-2506 on 2025-06-10, which scores 47.0. The next one was mistral-small-3.2-2506 on 2025-06-20, at 46.4.

Reading these numbers

The 4 scores on this page come from 1 source: Epoch AI Benchmarking Hub (4). No official leaderboard supplied any of them, so treat them as third-party measurements. With 4 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

More from Mistral AI

Compare it on the live leaderboard → · How the aggregate score works