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Comparison · 2 models · Updated Oct 4, 2026

Magistral Small vs QwQ 32B

Too close to call on our weighted score (QwQ 32B 53, Magistral Small 50). The right pick depends on what you value most.

  1. Mistral AI

    Magistral Small

    Released Jun 10, 2025

    50/100
    • ECI133.2
    • Price$0.50 / $1.50
    • Context131K
    Full specs Remove Magistral Small

  2. Alibaba (Qwen)

    QwQ 32B

    Released Mar 5, 2025

    53/100
    • ECI137.6
    • Price$0.66 / $1.00
    • Context131K
    Full specs Remove QwQ 32B

  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (QwQ 32B 53/100, Magistral Small 50/100), so choose by what matters most for your work: QwQ 32B for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwQ 32BCapabilities Index (ECI): QwQ 32B 137.6 · Magistral Small 133.2
  • Lowest priceQwQ 32BQwQ 32B $0.745 · Magistral Small $0.75 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMagistral Small 131,072 · QwQ 32B 131,072 tokens
  • Widest inputsSame inputsMagistral Small: Text · QwQ 32B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMagistral SmallQwQ 32B
CapabilityCapabilities Index (ECI)50%5762
Price25%5656
Inputs & features15%3535
Context window10%2424
Overall100%50/10053/100
02 — Side by side

Every spec in one table

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

Magistral Small vs QwQ 32B specifications side by side
SpecificationMagistral SmallMistral AIQwQ 32BAlibaba (Qwen)
Capability
Capabilities Index (ECI)133.2137.6 (best)
ECI rank#120 of 148#109 of 148 (best)
GPQA DiamondGraduate-level science questions56.1%65.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics30.0%59.2% (best)
Price per million tokens
Input$0.50 (best)$0.66
Output$1.50$1.00 (best)
Cached input——
Blended (3:1)$0.75$0.745 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 1 providers
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache 2.0Open
API model ID——
API providers11
ReleasedJun 10, 2025Mar 5, 2025
Knowledge cutoff—Apr 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.

  • Magistral Small$8.00
  • QwQ 32B$8.60
04 — Questions

Which should you choose?

Which is better: Magistral Small or QwQ 32B?

It is close. Our weighted score puts them within 3 points (QwQ 32B 53/100, Magistral Small 50/100), so choose by what matters most for your work: QwQ 32B for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Magistral Small or QwQ 32B?

QwQ 32B is cheaper at $0.66 input / $1.00 output per million tokens (median across 1 API provider). Magistral Small costs $0.50 input / $1.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.745 per million tokens for QwQ 32B versus $0.75 for Magistral Small (1× as much).

Which scores higher on benchmarks?

QwQ 32B scores higher on the Capabilities Index (ECI): QwQ 32B 137.6 (#109 of 148) and Magistral Small 133.2 (#120 of 148). The confidence ranges of the top two overlap (133.1–141.7 vs 128.9–134.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — QwQ 32B 65.3%, Magistral Small 56.1%; OTIS Mock AIME 2024–2025 — QwQ 32B 59.2%, Magistral Small 30.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Magistral Small and QwQ 32B yet, so there is no like-for-like coding score. On overall capability, QwQ 32B 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?

Magistral Small and QwQ 32B share the same 131,072-token context window. Maximum output per response: Magistral Small up to 8,192, QwQ 32B up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Magistral Small accepts text; QwQ 32B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Apache 2.0), so you can self-host them.

Which is newer?

Magistral Small is the newest, released Jun 10, 2025. QwQ 32B came out Mar 5, 2025. Knowledge cutoff: QwQ 32B 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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