ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Small 3.2 24B vs Mistral Small 3.2

Too close to call on our weighted score (Mistral Small 3.2 24B 65, Mistral Small 3.2 62). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.2 24B

    Released Jun 20, 2025

    65/100
    • ECI—
    • Price$0.10 / $0.305
    • Context256K
    Full specs Remove Mistral Small 3.2 24B

  2. Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025Deprecated

    62/100
    • ECI—
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Mistral Small 3.2 24B 65/100, Mistral Small 3.2 62/100), so choose by what matters most for your work: Mistral Small 3.2 on price and Mistral Small 3.2 24B 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 3.2 24B $0.151 per 1M tokens (3:1 blend)
  • Longest contextMistral Small 3.2 24BMistral Small 3.2 24B 256,000 · Mistral Small 3.2 128,000 tokens
  • Widest inputsSame inputsMistral Small 3.2 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 3.2 24BMistral Small 3.2
Price50%8585
Inputs & features30%5050
Context window20%3624
Overall100%65/10062/100

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 24B vs Mistral Small 3.2 specifications side by side
SpecificationMistral Small 3.2 24BMistral AIMistral Small 3.2Mistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
GPQA DiamondGraduate-level science questions—49.1%
OTIS Mock AIME 2024–2025Competition mathematics—30.3%
Price per million tokens
Input$0.10$0.10
Output$0.305$0.30 (best)
Cached input——
Blended (3:1)$0.151$0.15 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 8 providersOfficial Mistral API
Limits
Context window256,000 tokens (best)128,000 tokens
Max output16,384 tokens16,384 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID—mistral-small-2506
API providers8 (best)7
ReleasedJun 20, 2025Jun 20, 2025
Knowledge cutoffOct 31, 2023Mar 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 24B$1.61
  • Mistral Small 3.2$1.60
04 — Questions

Which should you choose?

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

It is close. Our weighted score puts them within 2 points (Mistral Small 3.2 24B 65/100, Mistral Small 3.2 62/100), so choose by what matters most for your work: Mistral Small 3.2 on price and Mistral Small 3.2 24B 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 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 3.2 24B costs $0.10 input / $0.305 output per million tokens (median across 8 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 $0.151 for Mistral Small 3.2 24B (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Mistral Small 3.2 24B has not been scored yet and Mistral Small 3.2 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.2 24B and Mistral Small 3.2 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 3.2 24B 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 24B up to 16,384, Mistral Small 3.2 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.2 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 24B is the newest, released Jun 20, 2025. Mistral Small 3.2 came out Jun 20, 2025. Knowledge cutoff: Mistral Small 3.2 24B Oct 31, 2023, 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 Nov 2, 2026.

05 — Keep comparing

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