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Model comparison

Mistral Small 3.2 vs Mistral Small 3.1

Mistral AIMistral Small 3.2
Input
$0.10
Output
$0.30
Context
128K
Released
2025-06-20
Full model page →Mistral AIMistral Small 3.1
Input
$0.351 / 1M tokens
Output
$0.555 / 1M tokens
Context
128K
Released
2025-03-17
Full model page →
Short answer

Mistral Small 3.2 scores higher on 5 of the 7 benchmarks both models report (the other leads on 2); Mistral Small 3.2 is cheaper on input tokens ($0.1 vs $0.4 per 1M, 3.5×).

Specs and pricing side by side

SpecMistral Small 3.2Mistral Small 3.1
MakerMistral AIMistral AIsame
Released2025-06-202025-03-17
Context window128K128Ksame
Input price$0.10$0.351 / 1M tokens
Output price$0.30$0.555 / 1M tokens
Parameters24B24Bsame
LicenseApache 2.0Apache 2.0same
WeightsOpen weightsOpen weightssame
ModalitiesText, VisionText, Visionsame
Knowledge cutoffOctober 2023October 2023same

Not published by either maker: max output.

Benchmarks both models report

BenchmarkMistral Small 3.2Mistral Small 3.1
MMLU80.5%80.62%
MMLU Pro69.06%66.76%
MATH69.42%69.3%
GPQA Diamond46.13%45.96%
ChartQA87.4%86.24%
DocVQA94.86%94.08%
MMMU62.5%64%

Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.

Which one should you pick?

Pick Mistral Small 3.2 if…

  • You care about MMLU Pro, MATH, GPQA Diamond (it scores higher on 5 shared benchmarks).
  • Cost matters: input tokens cost 3.5× less ($0.1 vs $0.4 per 1M).
  • Your use case is: self-hosted chat assistants and internal copilots where data must stay on-premise.

Pick Mistral Small 3.1 if…

  • You care about MMLU, MMMU (it scores higher on 2 shared benchmarks).
  • Your use case is: self-hosted multimodal assistants that need to read images, documents, and charts.

FAQ

Which is better, Mistral Small 3.2 or Mistral Small 3.1?

Mistral Small 3.2 scores higher on 5 of the 7 benchmarks both models report (the other leads on 2); Mistral Small 3.2 is cheaper on input tokens ($0.1 vs $0.4 per 1M, 3.5×). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.

How much cheaper is Mistral Small 3.2?

Mistral Small 3.2: $0.10 input, $0.30 output. Mistral Small 3.1: $0.351 / 1M tokens input, $0.555 / 1M tokens output (list API prices as published by each maker).

What are the context windows of Mistral Small 3.2 and Mistral Small 3.1?

Mistral Small 3.2 offers 128K; Mistral Small 3.1 offers 128K.

Is Mistral Small 3.2 newer than Mistral Small 3.1?

Mistral Small 3.2 was released 2025-06-20; Mistral Small 3.1 was released 2025-03-17.

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