ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.2 vs Mistral Small 3.1 24B

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

  1. 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

  2. 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

  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 3.2 128,000 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsSame inputsMistral Small 3.2: Text, Images · Mistral Small 3.1 24B: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Small 3.2Mistral Small 3.1 24B
CapabilityCapabilities Index (ECI)50%5550
Price25%8976
Inputs & features15%5060
Context window10%2424
Overall100%60/10055/100
02 — Side by side

Every spec in one table

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

Mistral Small 3.2 vs Mistral Small 3.1 24B specifications side by side
SpecificationMistral Small 3.2Mistral AIMistral Small 3.1 24BMistral AI
Capability
Capabilities Index (ECI)131.7 (best)127.5
ECI rank#123 of 148 (best)#132 of 148
GPQA DiamondGraduate-level science questions49.1% (best)47.5%
OTIS Mock AIME 2024–2025Competition mathematics30.3% (best)5.8%
Price per million tokens
Input$0.10 (best)$0.229
Output$0.30 (best)$0.436
Cached input——
Blended (3:1)$0.15 (best)$0.281
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 2 providers
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 outputNoYes
Availability
WeightsOpenOpen
API model IDmistral-small-2506—
API providers6 (best)2
ReleasedJun 20, 2025Mar 17, 2025
Knowledge cutoffMar 2025Jun 2024
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 3.2$1.60
  • Mistral Small 3.1 24B$3.16
04 — Questions

Which should you choose?

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

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 3.2 or Mistral Small 3.1 24B?

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

Which can read images, PDFs, audio or video?

Mistral Small 3.2 accepts text and images; Mistral Small 3.1 24B 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 3.2 Mar 2025, Mistral Small 3.1 24B Jun 2024.

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

Related comparisons