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Comparison · 2 models · Updated Nov 2, 2026

Mistral Small 3.2 24B vs Qwen Flash

Qwen Flash comes out ahead, 69 to 65 on our weighted score, and it is the cheaper option too.

  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. Our pick

    Alibaba (Qwen)

    Qwen Flash

    Released Jul 28, 2025

    69/100
    • ECI—
    • Price$0.05 / $0.40
    • Context1M
    Full specs Remove Qwen Flash

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen Flash is our pick

Qwen Flash is the better all-round choice, scoring 69/100 against Mistral Small 3.2 24B (65). It leads on price and context window. Mistral Small 3.2 24B wins on inputs & features. 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 priceQwen FlashQwen Flash $0.138 · Mistral Small 3.2 24B $0.151 per 1M tokens (3:1 blend)
  • Longest contextQwen FlashQwen Flash 1,000,000 · Mistral Small 3.2 24B 256,000 tokens
  • Widest inputsMistral Small 3.2 24BMistral Small 3.2 24B: Text, Images · Qwen Flash: Text
  • Self-hostingMistral Small 3.2 24BPublishes downloadable weights
How the score is built
MeasureWeightMistral Small 3.2 24BQwen Flash
Price50%8587
Inputs & features30%5045
Context window20%3660
Overall100%65/10069/100

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 Qwen Flash specifications side by side
SpecificationMistral Small 3.2 24BMistral AIQwen FlashAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.10$0.05 (best)
Output$0.305 (best)$0.40
Cached input—$0.01
Blended (3:1)$0.151$0.138 (best)
Long-context rateSame rateOver 256K: $0.25 / $2.00
Price sourceMedian of 8 providersOfficial Alibaba API
Limits
Context window256,000 tokens1,000,000 tokens (best)
Max output16,384 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model ID—qwen-flash
API providers8 (best)6
ReleasedJun 20, 2025Jul 28, 2025
Knowledge cutoffOct 31, 2023Apr 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 24B$1.61
  • Qwen Flash$1.30
04 — Questions

Which should you choose?

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

Qwen Flash is the better all-round choice, scoring 69/100 against Mistral Small 3.2 24B (65). It leads on price and context window. Mistral Small 3.2 24B wins on inputs & features. 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 Qwen Flash?

Qwen Flash is cheaper at $0.05 input / $0.40 output per million tokens (official Alibaba 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 $0.138 per million tokens for Qwen Flash versus $0.151 for Mistral Small 3.2 24B (1.1× 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 Qwen Flash 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 Qwen Flash 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?

Qwen Flash has the largest context window at 1,000,000 tokens, against 256,000 for Mistral Small 3.2 24B. Maximum output per response: Mistral Small 3.2 24B up to 16,384, Qwen Flash up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.2 24B accepts text and images; Qwen Flash accepts text. Mistral Small 3.2 24B handles the widest range of inputs.

Are any of these open source?

Mistral Small 3.2 24B publishes its weights and can be self-hosted; Qwen Flash is proprietary.

Which is newer?

Qwen Flash is the newest, released Jul 28, 2025. Mistral Small 3.2 24B came out Jun 20, 2025. Knowledge cutoff: Mistral Small 3.2 24B Oct 31, 2023, Qwen Flash Apr 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 Nov 2, 2026.

05 — Keep comparing

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