ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-4.7-Flash vs Mistral Small 3.2 vs Qwen Turbo

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

  1. Z.ai (Zhipu)

    GLM-4.7-Flash

    Released Jan 19, 2026

    48/100
    • ECI—
    • Price$0.06 / $0.40
    • Context200K
    Full specs Remove GLM-4.7-Flash
  2. 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

  3. Alibaba (Qwen)

    Qwen Turbo

    Released Nov 1, 2024

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

Mistral Small 3.2 is our pick

Mistral Small 3.2 is the better all-round choice, scoring 52/100 against GLM-4.7-Flash (48) and 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 GLM-4.7-Flash and Qwen Turbo has no Capabilities Index score yet.

  • CapabilityMistral Small 3.2Shared benchmarks: Mistral Small 3.2 39.7% · GLM-4.7-Flash 35.1% · Qwen Turbo 24.0%
  • Lowest priceQwen TurboQwen Turbo $0.087 · GLM-4.7-Flash $0.145 · Mistral Small 3.2 $0.15 per 1M tokens (3:1 blend)
  • Longest contextQwen TurboQwen Turbo 1,000,000 · GLM-4.7-Flash 200,000 · Mistral Small 3.2 128,000 tokens
  • Widest inputsMistral Small 3.2GLM-4.7-Flash: Text · Mistral Small 3.2: Text, Images · Qwen Turbo: Text
  • Self-hostingGLM-4.7-Flash and Mistral Small 3.2Publishes downloadable weights
How the score is built
MeasureWeightGLM-4.7-FlashMistral Small 3.2Qwen Turbo
CapabilityShared benchmarks50%354024
Price25%9089100
Inputs & features15%355035
Context window10%322460
Overall100%48/10052/10048/100
02 — Side by side

Every spec in one table

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

GLM-4.7-Flash vs Mistral Small 3.2 vs Qwen Turbo specifications side by side
SpecificationGLM-4.7-FlashZ.ai (Zhipu)Mistral Small 3.2Mistral AIQwen TurboAlibaba (Qwen)
Capability
Capabilities Index (ECI)—131.7—
ECI rank—#123 of 148—
GPQA DiamondGraduate-level science questions45.1%49.1% (best)41.8%
OTIS Mock AIME 2024–2025Competition mathematics25.0%30.3% (best)6.1%
Price per million tokens
Input$0.06$0.10$0.05 (best)
Output$0.40$0.30$0.20 (best)
Cached input———
Blended (3:1)$0.145$0.15$0.087 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 13 providersOfficial Mistral APIOfficial Alibaba API
Limits
Context window200,000 tokens128,000 tokens1,000,000 tokens (best)
Max output131,072 tokens (best)16,384 tokens16,384 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenProprietary
API model IDglm-4.7-flashmistral-small-2506qwen-turbo
API providers19 (best)63
ReleasedJan 19, 2026Jun 20, 2025Nov 1, 2024
Knowledge cutoffApr 2025Mar 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.

  • GLM-4.7-Flash$1.41
  • Mistral Small 3.2$1.60
  • Qwen Turbo$0.90
04 — Questions

Which should you choose?

Which is better: GLM-4.7-Flash, Mistral Small 3.2 or Qwen Turbo?

Mistral Small 3.2 is the better all-round choice, scoring 52/100 against GLM-4.7-Flash (48) and 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 GLM-4.7-Flash and Qwen Turbo has no Capabilities Index score yet.

Which is cheaper, GLM-4.7-Flash, 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). GLM-4.7-Flash costs $0.06 input / $0.40 output per million tokens (median across 13 API providers; free on Z.AI); 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 $0.145 for GLM-4.7-Flash (1.7× as much) and $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%, GLM-4.7-Flash 35.1% and Qwen Turbo 24.0%. On individual benchmarks: GPQA Diamond — Mistral Small 3.2 49.1%, GLM-4.7-Flash 45.1%, Qwen Turbo 41.8%; OTIS Mock AIME 2024–2025 — Mistral Small 3.2 30.3%, GLM-4.7-Flash 25.0%, Qwen Turbo 6.1%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7-Flash, 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. All three 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 200,000 for GLM-4.7-Flash and 128,000 for Mistral Small 3.2. Maximum output per response: GLM-4.7-Flash up to 131,072, Mistral Small 3.2 up to 16,384, Qwen Turbo up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7-Flash accepts text; 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?

GLM-4.7-Flash and Mistral Small 3.2 publishes its weights and can be self-hosted; Qwen Turbo is proprietary.

Which is newer?

GLM-4.7-Flash is the newest, released Jan 19, 2026. Mistral Small 3.2 came out Jun 20, 2025; Qwen Turbo came out Nov 1, 2024. Knowledge cutoff: GLM-4.7-Flash Apr 2025, 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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