ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-4.7-Flash vs Gemma 3 12B IT

Too close to call on our weighted score (Gemma 3 12B IT 49, GLM-4.7-Flash 48). The right pick depends on what you value most.

  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. Google

    Gemma 3 12B IT

    Released Mar 12, 2025

    49/100
    • ECI123.5
    • Price$0.05 / $0.15
    • Context131K
    Full specs Remove Gemma 3 12B IT

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Gemma 3 12B IT 49/100, GLM-4.7-Flash 48/100), so choose by what matters most for your work: GLM-4.7-Flash for raw capability and Gemma 3 12B IT 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 has no Capabilities Index score yet.

  • CapabilityGLM-4.7-FlashShared benchmarks: GLM-4.7-Flash 35.1% · Gemma 3 12B IT 28.1%
  • Lowest priceGemma 3 12B ITGemma 3 12B IT $0.075 · GLM-4.7-Flash $0.145 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7-FlashGLM-4.7-Flash 200,000 · Gemma 3 12B IT 131,072 tokens
  • Widest inputsGemma 3 12B ITGLM-4.7-Flash: Text · Gemma 3 12B 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-FlashGemma 3 12B IT
CapabilityShared benchmarks50%3528
Price25%90100
Inputs & features15%3550
Context window10%3224
Overall100%48/10049/100
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 Gemma 3 12B IT specifications side by side
SpecificationGLM-4.7-FlashZ.ai (Zhipu)Gemma 3 12B ITGoogle
Capability
Capabilities Index (ECI)—123.5
ECI rank—#138 of 148
GPQA DiamondGraduate-level science questions45.1% (best)39.5%
OTIS Mock AIME 2024–2025Competition mathematics25.0% (best)16.7%
Price per million tokens
Input$0.06$0.05 (best)
Output$0.40$0.15 (best)
Cached input——
Blended (3:1)$0.145$0.075 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 13 providersMedian of 7 providers
Limits
Context window200,000 tokens (best)131,072 tokens
Max output131,072 tokens131,072 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDglm-4.7-flash—
API providers19 (best)7
ReleasedJan 19, 2026Mar 12, 2025
Knowledge cutoffApr 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.

  • GLM-4.7-Flash$1.41
  • Gemma 3 12B IT$0.80
04 — Questions

Which should you choose?

Which is better: GLM-4.7-Flash or Gemma 3 12B IT?

It is close. Our weighted score puts them within a point (Gemma 3 12B IT 49/100, GLM-4.7-Flash 48/100), so choose by what matters most for your work: GLM-4.7-Flash for raw capability and Gemma 3 12B IT 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 has no Capabilities Index score yet.

Which is cheaper, GLM-4.7-Flash or Gemma 3 12B IT?

Gemma 3 12B IT is cheaper at $0.05 input / $0.15 output per million tokens (median across 7 API providers). GLM-4.7-Flash costs $0.06 input / $0.40 output per million tokens (median across 13 API providers; free on Z.AI). At a typical mix of three input tokens to one output token, that is $0.075 per million tokens for Gemma 3 12B IT versus $0.145 for GLM-4.7-Flash (1.9× 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 Gemma 3 12B IT 28.1%. On individual benchmarks: GPQA Diamond — GLM-4.7-Flash 45.1%, Gemma 3 12B IT 39.5%; OTIS Mock AIME 2024–2025 — GLM-4.7-Flash 25.0%, Gemma 3 12B IT 16.7%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7-Flash and Gemma 3 12B IT 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. Both 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 12B IT. Maximum output per response: GLM-4.7-Flash up to 131,072, Gemma 3 12B IT up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7-Flash accepts text; Gemma 3 12B IT accepts text and images. Gemma 3 12B IT handles the widest range of inputs.

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. Gemma 3 12B IT came out Mar 12, 2025. Knowledge cutoff: GLM-4.7-Flash Apr 2025, Gemma 3 12B 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 Oct 4, 2026.

05 — Keep comparing

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