GoogleGemini 3.6 FlashVSZ.ai (Zhipu AI)GLM-4.5

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

If your budget allows, Gemini 3.6 Flash is the superior choice here, offering a clear reasoning advantage (+13.1% on GPQA Diamond) — with Gemini 3.6 Flash evaluated on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) and GLM-4.5 on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems) — while carrying only a moderate price premium (3.0x). Choose GLM-4.5 only if you need to optimize costs for very high-volume pipelines.

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Model Specs

Gemini 3.6 Flash

Website

Benchmarks & Scores

Coding (swe-bench-pro)

58.7%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+13.1%)

93%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$3.00Input: $1.50 | Output: $7.50

Context WindowLarger

1.05M tokens

Model Specs

GLM-4.5

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-verified)

64.2%

good at editing existing code, cross-file updates, and multi-component systems

Reasoning (gpqa-diamond)

79.9%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)3.0x cheaper

$1.00Input: $0.60 | Output: $2.20

Context Window

131.07k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.6 Flash vs GLM-4.5

GLM-4.5 is cheaper than Gemini 3.6 Flash. GLM-4.5 has a blended cost of $1.00/1M tokens, which is about 3.0x cheaper than Gemini 3.6 Flash at $3.00/1M tokens.

For coding tasks, Gemini 3.6 Flash scores 58.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases), while GLM-4.5 scores 64.2% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems).

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