ZMIME
Comparison · 2 models · Updated Nov 2, 2026

GLM-4.7-Flash vs Mistral Small 3

GLM-4.7-Flash comes out ahead, 47 to 39 on our weighted score, though Mistral Small 3 is 2.7× cheaper per token.

  1. Our pick

    Z.ai (Zhipu)

    GLM-4.7-Flash

    Released Jan 19, 2026

    47/100
    • ECI—
    • Price$0.07 / $0.40
    • Context200K
    Full specs Remove GLM-4.7-Flash

  2. Mistral AI

    Mistral Small 3

    Released Jan 30, 2025

    39/100
    • ECI—
    • Price$0.05 / $0.08
    • Context33K
    Full specs Remove Mistral Small 3

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.7-Flash is our pick

GLM-4.7-Flash is the better all-round choice, scoring 47/100 against Mistral Small 3 (39). It leads on capability, inputs & features and context window. Mistral Small 3 wins on price. 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 Mistral Small 3 has no Capabilities Index score yet.

  • CapabilityGLM-4.7-FlashShared benchmarks: GLM-4.7-Flash 35.1% · Mistral Small 3 27.0%
  • Lowest priceMistral Small 3Mistral Small 3 $0.058 · GLM-4.7-Flash $0.152 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7-FlashGLM-4.7-Flash 200,000 · Mistral Small 3 32,768 tokens
  • Widest inputsSame inputsGLM-4.7-Flash: Text · Mistral Small 3: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.7-FlashMistral Small 3
CapabilityShared benchmarks50%3527
Price25%85100
Inputs & features15%350
Context window10%320
Overall100%47/10039/100
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 specifications side by side
SpecificationGLM-4.7-FlashZ.ai (Zhipu)Mistral Small 3Mistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
GPQA DiamondGraduate-level science questions45.1%47.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics25.0% (best)6.7%
Price per million tokens
Input$0.07$0.05 (best)
Output$0.40$0.08 (best)
Cached input——
Blended (3:1)$0.152$0.058 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 15 providersMedian of 6 providers
Limits
Context window200,000 tokens (best)32,768 tokens
Max output131,072 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDglm-4.7-flash—
API providers24 (best)6
ReleasedJan 19, 2026Jan 30, 2025
Knowledge cutoffApr 2025Oct 31, 2023
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$1.50
  • Mistral Small 3$0.66
04 — Questions

Which should you choose?

Which is better: GLM-4.7-Flash or Mistral Small 3?

GLM-4.7-Flash is the better all-round choice, scoring 47/100 against Mistral Small 3 (39). It leads on capability, inputs & features and context window. Mistral Small 3 wins on price. 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 Mistral Small 3 has no Capabilities Index score yet.

Which is cheaper, GLM-4.7-Flash or Mistral Small 3?

Mistral Small 3 is cheaper at $0.05 input / $0.08 output per million tokens (median across 6 API providers). GLM-4.7-Flash costs $0.07 input / $0.40 output per million tokens (median across 15 API providers; free on Z.AI). At a typical mix of three input tokens to one output token, that is $0.058 per million tokens for Mistral Small 3 versus $0.152 for GLM-4.7-Flash (2.7× 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): GLM-4.7-Flash 35.1% and Mistral Small 3 27.0%. On individual benchmarks: GPQA Diamond — Mistral Small 3 47.3%, GLM-4.7-Flash 45.1%; OTIS Mock AIME 2024–2025 — GLM-4.7-Flash 25.0%, Mistral Small 3 6.7%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7-Flash and Mistral Small 3 yet, so there is no like-for-like coding score. On overall capability, GLM-4.7-Flash leads, which tends to carry over to coding, but test on your own codebase. Note that Mistral Small 3 does not support tool calling, which most coding agents need.

Which has the bigger context window?

GLM-4.7-Flash has the largest context window at 200,000 tokens, against 32,768 for Mistral Small 3. Maximum output per response: GLM-4.7-Flash up to 131,072, Mistral Small 3 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7-Flash accepts text; Mistral Small 3 accepts text. 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?

GLM-4.7-Flash is the newest, released Jan 19, 2026. Mistral Small 3 came out Jan 30, 2025. Knowledge cutoff: GLM-4.7-Flash Apr 2025, Mistral Small 3 Oct 31, 2023.

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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