ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Gemma 3 27B IT vs GLM-4.7-Flash

Too close to call on our weighted score (Gemma 3 27B IT 51, GLM-4.7-Flash 48). The right pick depends on what you value most.

  1. Google

    Gemma 3 27B IT

    Released Mar 12, 2025

    51/100
    • ECI130.0
    • Price$0.08 / $0.20
    • Context131K
    Full specs Remove Gemma 3 27B IT

  2. 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

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Gemma 3 27B IT 51/100, GLM-4.7-Flash 48/100), so choose by what matters most for your work: Gemma 3 27B IT 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 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%
  • Lowest priceGemma 3 27B ITGemma 3 27B IT $0.11 · GLM-4.7-Flash $0.145 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7-FlashGLM-4.7-Flash 200,000 · Gemma 3 27B IT 131,072 tokens
  • Widest inputsGemma 3 27B ITGemma 3 27B IT: Text, Images · GLM-4.7-Flash: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGemma 3 27B ITGLM-4.7-Flash
CapabilityShared benchmarks50%3535
Price25%9590
Inputs & features15%5035
Context window10%2432
Overall100%51/10048/100
02 — Side by side

Every spec in one table

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

Gemma 3 27B IT vs GLM-4.7-Flash specifications side by side
SpecificationGemma 3 27B ITGoogleGLM-4.7-FlashZ.ai (Zhipu)
Capability
Capabilities Index (ECI)130.0—
ECI rank#125 of 148—
GPQA DiamondGraduate-level science questions47.7% (best)45.1%
OTIS Mock AIME 2024–2025Competition mathematics22.5%25.0% (best)
Price per million tokens
Input$0.08$0.06 (best)
Output$0.20 (best)$0.40
Cached input——
Blended (3:1)$0.11 (best)$0.145
Long-context rateSame rateSame rate
Price sourceMedian of 9 providersMedian of 13 providers
Limits
Context window131,072 tokens200,000 tokens (best)
Max output131,072 tokens131,072 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID—glm-4.7-flash
API providers1019 (best)
ReleasedMar 12, 2025Jan 19, 2026
Knowledge cutoffAug 2024Apr 2025
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.

  • Gemma 3 27B IT$1.20
  • GLM-4.7-Flash$1.41
04 — Questions

Which should you choose?

Which is better: Gemma 3 27B IT or GLM-4.7-Flash?

It is close. Our weighted score puts them within 3 points (Gemma 3 27B IT 51/100, GLM-4.7-Flash 48/100), so choose by what matters most for your work: Gemma 3 27B IT 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 GLM-4.7-Flash has no Capabilities Index score yet.

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

Gemma 3 27B IT is cheaper at $0.08 input / $0.20 output per million tokens (median across 9 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 $0.11 per million tokens for Gemma 3 27B IT versus $0.145 for GLM-4.7-Flash (1.3× 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% and GLM-4.7-Flash 35.1%. On individual benchmarks: GPQA Diamond — Gemma 3 27B IT 47.7%, GLM-4.7-Flash 45.1%; OTIS Mock AIME 2024–2025 — 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 Gemma 3 27B IT and GLM-4.7-Flash 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. 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 27B IT. Maximum output per response: Gemma 3 27B IT up to 131,072, GLM-4.7-Flash up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Gemma 3 27B IT accepts text and images; GLM-4.7-Flash accepts text. Gemma 3 27B 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 27B IT came out Mar 12, 2025. Knowledge cutoff: Gemma 3 27B IT Aug 2024, GLM-4.7-Flash Apr 2025.

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

Related comparisons