ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.2 vs Mistral Small 4

Too close to call on our weighted score (Mistral Small 3.2 64, Mistral Small 4 64). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025

    64/100
    • ECI131.7
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

  2. Mistral AI

    Mistral Small 4

    Released Mar 16, 2026

    64/100
    • ECI—
    • Price$0.15 / $0.60
    • Context256K
    Full specs Remove Mistral Small 4

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Mistral Small 3.2 64/100, Mistral Small 4 64/100), so choose by what matters most for your work: Mistral Small 3.2 on price and Mistral Small 4 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceMistral Small 3.2Mistral Small 3.2 $0.15 · Mistral Small 4 $0.263 per 1M tokens (3:1 blend)
  • Longest contextMistral Small 4Mistral Small 4 256,000 · Mistral Small 3.2 128,000 tokens
  • Widest inputsSame inputsMistral Small 3.2: Text, Images · Mistral Small 4: 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 4
Price50%8977
Inputs & features30%5060
Context window20%2436
Overall100%64/10064/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

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 4 specifications side by side
SpecificationMistral Small 3.2Mistral AIMistral Small 4Mistral AI
Capability
Capabilities Index (ECI)131.7—
ECI rank#123 of 148—
GPQA DiamondGraduate-level science questions49.1%—
OTIS Mock AIME 2024–2025Competition mathematics30.3%—
Price per million tokens
Input$0.10 (best)$0.15
Output$0.30 (best)$0.60
Cached input—$0.015
Blended (3:1)$0.15 (best)$0.263
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Mistral API
Limits
Context window128,000 tokens256,000 tokens (best)
Max output16,384 tokens256,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYeshigh
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDmistral-small-2506mistral-small-2603
API providers616 (best)
ReleasedJun 20, 2025Mar 16, 2026
Knowledge cutoffMar 2025Jun 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 3.2$1.60
  • Mistral Small 4$2.70
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.2 or Mistral Small 4?

It is close. Our weighted score puts them within a point (Mistral Small 3.2 64/100, Mistral Small 4 64/100), so choose by what matters most for your work: Mistral Small 3.2 on price and Mistral Small 4 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Mistral Small 3.2 or Mistral Small 4?

Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Mistral Small 4 costs $0.15 input / $0.60 output per million tokens (official Mistral API price). 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 $0.263 for Mistral Small 4 (1.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Mistral Small 3.2 has an ECI of 131.7 and Mistral Small 4 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.2 and Mistral Small 4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Small 4 has the largest context window at 256,000 tokens, against 128,000 for Mistral Small 3.2. Maximum output per response: Mistral Small 3.2 up to 16,384, Mistral Small 4 up to 256,000 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.2 accepts text and images; Mistral Small 4 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 4 is the newest, released Mar 16, 2026. Mistral Small 3.2 came out Jun 20, 2025. Knowledge cutoff: Mistral Small 3.2 Mar 2025, Mistral Small 4 Jun 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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