ZMIME
Comparison · 3 models · Updated Nov 2, 2026

GLM-4.7-Flash vs Mistral Small 3.1 24B vs Gemma 3 27B IT

Too close to call on our weighted score (Gemma 3 27B IT 49, GLM-4.7-Flash 47, Mistral Small 3.1 24B 40). The right pick depends on what you value most.

  1. 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 3.1 24B

    Released Mar 17, 2025

    40/100
    • ECI127.5
    • Price$0.351 / $0.555
    • Context128K
    Full specs Remove Mistral Small 3.1 24B

  3. Google

    Gemma 3 27B IT

    Released Mar 12, 2025

    49/100
    • ECI129.9
    • Price$0.11 / $0.30
    • Context131K
    Full specs Remove Gemma 3 27B IT
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Gemma 3 27B IT 49/100, GLM-4.7-Flash 47/100, Mistral Small 3.1 24B 40/100), so choose by what matters most for your work: Gemma 3 27B IT for raw capability, GLM-4.7-Flash on price and GLM-4.7-Flash for long inputs. 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 has no Capabilities Index score yet.

  • CapabilityGemma 3 27B ITShared benchmarks: Gemma 3 27B IT 35.1% · GLM-4.7-Flash 35.1% · Mistral Small 3.1 24B 26.7%
  • Lowest priceGLM-4.7-FlashGLM-4.7-Flash $0.152 · Gemma 3 27B IT $0.157 · Mistral Small 3.1 24B $0.402 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7-FlashGLM-4.7-Flash 200,000 · Gemma 3 27B IT 131,072 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsMistral Small 3.1 24B and Gemma 3 27B ITGLM-4.7-Flash: Text · Mistral Small 3.1 24B: Text, Images · Gemma 3 27B IT: Text, Images
  • 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 3.1 24BGemma 3 27B IT
CapabilityShared benchmarks50%352735
Price25%856684
Inputs & features15%355050
Context window10%322425
Overall100%47/10040/10049/100
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 3.1 24B vs Gemma 3 27B IT specifications side by side
SpecificationGLM-4.7-FlashZ.ai (Zhipu)Mistral Small 3.1 24BMistral AIGemma 3 27B ITGoogle
Capability
Capabilities Index (ECI)—127.5129.9 (best)
ECI rank—#145 of 165#137 of 165 (best)
GPQA DiamondGraduate-level science questions45.1%47.5%47.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics25.0% (best)5.8%22.5%
Price per million tokens
Input$0.07 (best)$0.351$0.11
Output$0.40$0.555$0.30 (best)
Cached input———
Blended (3:1)$0.152 (best)$0.402$0.157
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 15 providersMedian of 9 providersMedian of 16 providers
Limits
Context window200,000 tokens (best)128,000 tokens131,072 tokens
Max output131,072 tokens (best)16,384 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpen
API model IDglm-4.7-flash——
API providers24 (best)917
ReleasedJan 19, 2026Mar 17, 2025Mar 12, 2025
Knowledge cutoffApr 2025Jun 2024Aug 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$1.50
  • Mistral Small 3.1 24B$4.62
  • Gemma 3 27B IT$1.69
04 — Questions

Which should you choose?

Which is better: GLM-4.7-Flash, Mistral Small 3.1 24B or Gemma 3 27B IT?

It is close. Our weighted score puts them within 1 points (Gemma 3 27B IT 49/100, GLM-4.7-Flash 47/100, Mistral Small 3.1 24B 40/100), so choose by what matters most for your work: Gemma 3 27B IT for raw capability, GLM-4.7-Flash on price and GLM-4.7-Flash for long inputs. 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 has no Capabilities Index score yet.

Which is cheaper, GLM-4.7-Flash, Mistral Small 3.1 24B or Gemma 3 27B IT?

GLM-4.7-Flash is cheaper at $0.07 input / $0.40 output per million tokens (median across 15 API providers; free on Z.AI). Gemma 3 27B IT costs $0.11 input / $0.30 output per million tokens (median across 16 API providers); Mistral Small 3.1 24B costs $0.351 input / $0.555 output per million tokens (median across 9 API providers). At a typical mix of three input tokens to one output token, that is $0.152 per million tokens for GLM-4.7-Flash versus $0.157 for Gemma 3 27B IT (1× as much) and $0.402 for Mistral Small 3.1 24B (2.6× 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): Gemma 3 27B IT 35.1%, GLM-4.7-Flash 35.1% and Mistral Small 3.1 24B 26.7%. On individual benchmarks: GPQA Diamond — Gemma 3 27B IT 47.7%, Mistral Small 3.1 24B 47.5%, GLM-4.7-Flash 45.1%; OTIS Mock AIME 2024–2025 — GLM-4.7-Flash 25.0%, Gemma 3 27B IT 22.5%, Mistral Small 3.1 24B 5.8%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7-Flash, Mistral Small 3.1 24B and Gemma 3 27B IT yet, so there is no like-for-like coding score. On overall capability, Gemma 3 27B IT 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?

GLM-4.7-Flash has the largest context window at 200,000 tokens, against 131,072 for Gemma 3 27B IT and 128,000 for Mistral Small 3.1 24B. Maximum output per response: GLM-4.7-Flash up to 131,072, Mistral Small 3.1 24B up to 16,384, Gemma 3 27B IT up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7-Flash accepts text; Mistral Small 3.1 24B accepts text and images; Gemma 3 27B IT accepts text and images. Mistral Small 3.1 24B handles the widest range of inputs.

Are any of these open source?

Yes, all three 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 3.1 24B came out Mar 17, 2025; Gemma 3 27B IT came out Mar 12, 2025. Knowledge cutoff: GLM-4.7-Flash Apr 2025, Mistral Small 3.1 24B Jun 2024, Gemma 3 27B IT Aug 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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