ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.1 24B vs Mistral Small 3.2

Mistral Small 3.2 comes out ahead, 60 to 55 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    55/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
    Full specs Remove Mistral Small 3.1 24B
  2. Our pick

    Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025

    60/100
    • ECI131.7
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Mistral Small 3.2 is our pick

Mistral Small 3.2 is the better all-round choice, scoring 60/100 against Mistral Small 3.1 24B (55). It leads on capability and price. Mistral Small 3.1 24B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Small 3.2Capabilities Index (ECI): Mistral Small 3.2 131.7 · Mistral Small 3.1 24B 127.5
  • Lowest priceMistral Small 3.2Mistral Small 3.2 $0.15 · Mistral Small 3.1 24B $0.281 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMistral Small 3.1 24B 128,000 · Mistral Small 3.2 128,000 tokens
  • Widest inputsSame inputsMistral Small 3.1 24B: Text, Images · Mistral Small 3.2: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Small 3.1 24BMistral Small 3.2
CapabilityCapabilities Index (ECI)50%5055
Price25%7689
Inputs & features15%6050
Context window10%2424
Overall100%55/10060/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Mistral Small 3.1 24B vs Mistral Small 3.2 specifications side by side
SpecificationMistral Small 3.1 24BMistral AIMistral Small 3.2Mistral AI
Capability
Capabilities Index (ECI)127.5131.7 (best)
ECI rank#132 of 148#123 of 148 (best)
GPQA DiamondGraduate-level science questions47.5%49.1% (best)
OTIS Mock AIME 2024–2025Competition mathematics5.8%30.3% (best)
Price per million tokens
Input$0.229$0.10 (best)
Output$0.436$0.30 (best)
Cached input——
Blended (3:1)$0.281$0.15 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Mistral API
Limits
Context window128,000 tokens128,000 tokens
Max output16,384 tokens16,384 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpen
API model ID—mistral-small-2506
API providers26 (best)
ReleasedMar 17, 2025Jun 20, 2025
Knowledge cutoffJun 2024Mar 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Mistral Small 3.1 24B$3.16
  • Mistral Small 3.2$1.60
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B or Mistral Small 3.2?

Mistral Small 3.2 is the better all-round choice, scoring 60/100 against Mistral Small 3.1 24B (55). It leads on capability and price. Mistral Small 3.1 24B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Small 3.1 24B or Mistral Small 3.2?

Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Mistral Small 3.1 24B costs $0.229 input / $0.436 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Mistral Small 3.2 versus $0.281 for Mistral Small 3.1 24B (1.9× as much).

Which scores higher on benchmarks?

Mistral Small 3.2 scores higher on the Capabilities Index (ECI): Mistral Small 3.2 131.7 (#123 of 148) and Mistral Small 3.1 24B 127.5 (#132 of 148). The confidence ranges of the top two overlap (126.6–133.9 vs 122.6–129.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Small 3.2 49.1%, Mistral Small 3.1 24B 47.5%; OTIS Mock AIME 2024–2025 — Mistral Small 3.2 30.3%, Mistral Small 3.1 24B 5.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B and Mistral Small 3.2 yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.2 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Small 3.1 24B and Mistral Small 3.2 share the same 128,000-token context window. Maximum output per response: Mistral Small 3.1 24B up to 16,384, Mistral Small 3.2 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; Mistral Small 3.2 accepts text and images. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Mistral Small 3.2 is the newest, released Jun 20, 2025. Mistral Small 3.1 24B came out Mar 17, 2025. Knowledge cutoff: Mistral Small 3.1 24B Jun 2024, Mistral Small 3.2 Mar 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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