GoogleGemini 3.6 FlashVSZ.ai (Zhipu AI)GLM-4.6

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

Our Take

This matchup represents a clear tradeoff between peak intelligence and budget efficiency. Gemini 3.6 Flash is noticeably superior (holding a 29.6% average lead in benchmarks), but it carries a significant 3.0x price premium. Choose Gemini 3.6 Flash if you need top-tier reasoning or code debugging, but for high-volume pipelines, GLM-4.6 is the smarter business decision.

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Model Specs

Gemini 3.6 Flash

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+49.0%)

58.7%

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

Reasoning (gpqa-diamond)Winner (+10.1%)

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-4.6

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)

9.67%

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

Reasoning (gpqa-diamond)

82.9%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)3.0x cheaper

$1.00Input: $0.60 | Output: $2.20

Context Window

202.75k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.6 Flash vs GLM-4.6

GLM-4.6 is cheaper than Gemini 3.6 Flash. GLM-4.6 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.

Gemini 3.6 Flash is better for coding tasks on this benchmark. It scores 58.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GLM-4.6 which scores 9.67%.

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