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Gemini 3.7 Flash vs GLM-4.5

Gemini 3.7 Flash (Google DeepMind) and GLM-4.5 (Z.ai (Zhipu AI),Tsinghua University) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsGLM-4.5Z.ai (Zhipu AI),Tsinghua University · 9 in the news
Scores
Intelligence (ECI)157—
Coding8819
Math7413
Reasoning & Knowledge8218
Agentic & Tools948
Specifications
DeveloperGoogle DeepMindZ.ai (Zhipu AI),Tsinghua University
FamilyGemini—
ReleasedAug 13, 2026Aug 5, 2025
Parameters—355B
AvailabilityAPI accessOpen weights (unrestricted)
Context window1M131K
Price — $/M input$0.75$0.60
Price — $/M output$3.75$2.20
Inputstext, image, video, file, audiotext
Outputstexttext
Benchmarks
AIME 2024/202597%74%
APEX68%—
ARC-AGI96%—
ARC-AGI-285%—
GPQA Diamond95%78%
Humanity's Last Exam39%8%
SciCode60%35%
SimpleQA Verified69%—
WebDev Arena1587—
LiveCodeBench—74%
MMLU-Pro—84%
WeirdML—41%
τ²-bench—43%

Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.

Frequently asked questions

Which is cheaper, Gemini 3.7 Flash or GLM-4.5?

GLM-4.5 is cheaper on input tokens at $0.60 per million, versus $0.75 (representative OpenRouter pricing).

Which has a larger context window, Gemini 3.7 Flash or GLM-4.5?

Gemini 3.7 Flash supports up to 1M tokens, compared with 131K for the other.

Which is better for coding, Gemini 3.7 Flash or GLM-4.5?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 88th vs 19th percentile among the models tracked on Model Beat.

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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.