ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Mistral Small 3.2 vs GLM-4.7-Flash vs Gemma 3 27B IT

Too close to call on our weighted score (Mistral Small 3.2 51, Gemma 3 27B IT 49, GLM-4.7-Flash 47). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025Deprecated

    51/100
    • ECI—
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

  2. 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

  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 2 points (Mistral Small 3.2 51/100, Gemma 3 27B IT 49/100, GLM-4.7-Flash 47/100), so choose by what matters most for your work: Mistral Small 3.2 for raw capability 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 Mistral Small 3.2 and GLM-4.7-Flash has no Capabilities Index score yet.

  • CapabilityMistral Small 3.2Shared benchmarks: Mistral Small 3.2 39.7% · Gemma 3 27B IT 35.1% · GLM-4.7-Flash 35.1%
  • Lowest priceMistral Small 3.2Mistral Small 3.2 $0.15 · GLM-4.7-Flash $0.152 · Gemma 3 27B IT $0.157 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7-FlashGLM-4.7-Flash 200,000 · Gemma 3 27B IT 131,072 · Mistral Small 3.2 128,000 tokens
  • Widest inputsMistral Small 3.2 and Gemma 3 27B ITMistral Small 3.2: Text, Images · GLM-4.7-Flash: Text · 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
MeasureWeightMistral Small 3.2GLM-4.7-FlashGemma 3 27B IT
CapabilityShared benchmarks50%403535
Price25%858584
Inputs & features15%503550
Context window10%243225
Overall100%51/10047/10049/100
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 GLM-4.7-Flash vs Gemma 3 27B IT specifications side by side
SpecificationMistral Small 3.2Mistral AIGLM-4.7-FlashZ.ai (Zhipu)Gemma 3 27B ITGoogle
Capability
Capabilities Index (ECI)——129.9
ECI rank——#137 of 165
GPQA DiamondGraduate-level science questions49.1% (best)45.1%47.7%
OTIS Mock AIME 2024–2025Competition mathematics30.3% (best)25.0%22.5%
Price per million tokens
Input$0.10$0.07 (best)$0.11
Output$0.30$0.40$0.30 (best)
Cached input———
Blended (3:1)$0.15 (best)$0.152$0.157
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 15 providersMedian of 16 providers
Limits
Context window128,000 tokens200,000 tokens (best)131,072 tokens
Max output16,384 tokens131,072 tokens (best)131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpen
API model IDmistral-small-2506glm-4.7-flash—
API providers724 (best)17
ReleasedJun 20, 2025Jan 19, 2026Mar 12, 2025
Knowledge cutoffMar 2025Apr 2025Aug 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
  • GLM-4.7-Flash$1.50
  • Gemma 3 27B IT$1.69
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.2, GLM-4.7-Flash or Gemma 3 27B IT?

It is close. Our weighted score puts them within 2 points (Mistral Small 3.2 51/100, Gemma 3 27B IT 49/100, GLM-4.7-Flash 47/100), so choose by what matters most for your work: Mistral Small 3.2 for raw capability 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 Mistral Small 3.2 and GLM-4.7-Flash has no Capabilities Index score yet.

Which is cheaper, Mistral Small 3.2, GLM-4.7-Flash or Gemma 3 27B IT?

Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). GLM-4.7-Flash costs $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). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Mistral Small 3.2 versus $0.152 for GLM-4.7-Flash (1× as much) and $0.157 for Gemma 3 27B IT (1× 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%, Gemma 3 27B IT 35.1% and GLM-4.7-Flash 35.1%. On individual benchmarks: GPQA Diamond — Mistral Small 3.2 49.1%, Gemma 3 27B IT 47.7%, GLM-4.7-Flash 45.1%; OTIS Mock AIME 2024–2025 — Mistral Small 3.2 30.3%, GLM-4.7-Flash 25.0%, Gemma 3 27B IT 22.5%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.2, GLM-4.7-Flash and Gemma 3 27B IT 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?

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 3.2. Maximum output per response: Mistral Small 3.2 up to 16,384, GLM-4.7-Flash up to 131,072, Gemma 3 27B IT up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.2 accepts text and images; GLM-4.7-Flash accepts text; Gemma 3 27B IT accepts text and images. Mistral Small 3.2 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 3.2 came out Jun 20, 2025; Gemma 3 27B IT came out Mar 12, 2025. Knowledge cutoff: Mistral Small 3.2 Mar 2025, GLM-4.7-Flash Apr 2025, 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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