ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.2 vs Qwen Turbo

Mistral Small 3.2 comes out ahead, 52 to 48 on our weighted score, though Qwen Turbo is 42% cheaper per token.

  1. Our pick

    Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025

    52/100
    • ECI131.7
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

  2. Alibaba (Qwen)

    Qwen Turbo

    Released Nov 1, 2024

    48/100
    • ECI—
    • Price$0.05 / $0.20
    • Context1M
    Full specs Remove Qwen Turbo

  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 52/100 against Qwen Turbo (48). It leads on capability and inputs & features. Qwen Turbo wins on price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because Qwen Turbo has no Capabilities Index score yet.

  • CapabilityMistral Small 3.2Shared benchmarks: Mistral Small 3.2 39.7% · Qwen Turbo 24.0%
  • Lowest priceQwen TurboQwen Turbo $0.087 · Mistral Small 3.2 $0.15 per 1M tokens (3:1 blend)
  • Longest contextQwen TurboQwen Turbo 1,000,000 · Mistral Small 3.2 128,000 tokens
  • Widest inputsMistral Small 3.2Mistral Small 3.2: Text, Images · Qwen Turbo: Text
  • Self-hostingMistral Small 3.2Publishes downloadable weights
How the score is built
MeasureWeightMistral Small 3.2Qwen Turbo
CapabilityShared benchmarks50%4024
Price25%89100
Inputs & features15%5035
Context window10%2460
Overall100%52/10048/100
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 Qwen Turbo specifications side by side
SpecificationMistral Small 3.2Mistral AIQwen TurboAlibaba (Qwen)
Capability
Capabilities Index (ECI)131.7—
ECI rank#123 of 148—
GPQA DiamondGraduate-level science questions49.1% (best)41.8%
OTIS Mock AIME 2024–2025Competition mathematics30.3% (best)6.1%
Price per million tokens
Input$0.10$0.05 (best)
Output$0.30$0.20 (best)
Cached input——
Blended (3:1)$0.15$0.087 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Alibaba API
Limits
Context window128,000 tokens1,000,000 tokens (best)
Max output16,384 tokens16,384 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDmistral-small-2506qwen-turbo
API providers6 (best)3
ReleasedJun 20, 2025Nov 1, 2024
Knowledge cutoffMar 2025Apr 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
  • Qwen Turbo$0.90
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.2 or Qwen Turbo?

Mistral Small 3.2 is the better all-round choice, scoring 52/100 against Qwen Turbo (48). It leads on capability and inputs & features. Qwen Turbo wins on price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because Qwen Turbo has no Capabilities Index score yet.

Which is cheaper, Mistral Small 3.2 or Qwen Turbo?

Qwen Turbo is cheaper at $0.05 input / $0.20 output per million tokens (official Alibaba API price). Mistral Small 3.2 costs $0.10 input / $0.30 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.087 per million tokens for Qwen Turbo versus $0.15 for Mistral Small 3.2 (1.7× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025): Mistral Small 3.2 39.7% and Qwen Turbo 24.0%. On individual benchmarks: GPQA Diamond — Mistral Small 3.2 49.1%, Qwen Turbo 41.8%; OTIS Mock AIME 2024–2025 — Mistral Small 3.2 30.3%, Qwen Turbo 6.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.2 and Qwen Turbo 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?

Qwen Turbo has the largest context window at 1,000,000 tokens, against 128,000 for Mistral Small 3.2. Maximum output per response: Mistral Small 3.2 up to 16,384, Qwen Turbo up to 16,384 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

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

Which is newer?

Mistral Small 3.2 is the newest, released Jun 20, 2025. Qwen Turbo came out Nov 1, 2024. Knowledge cutoff: Mistral Small 3.2 Mar 2025, Qwen Turbo 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 Oct 4, 2026.

05 — Keep comparing

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