GoogleGemini 3.6 FlashVSZ.ai (Zhipu AI)GLM-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 (+7.0% 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-5 on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems) — while carrying only a moderate price premium (1.9x). Choose GLM-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 (+7.0%)

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-5

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-verified)

77.8%

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

Reasoning (gpqa-diamond)

86%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.9x cheaper

$1.55Input: $1.00 | Output: $3.20

Context Window

202.75k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.6 Flash vs GLM-5

GLM-5 is cheaper than Gemini 3.6 Flash. GLM-5 has a blended cost of $1.55/1M tokens, which is about 1.9x 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-5 scores 77.8% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems).

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