GoogleGemini 3.5 Flash LiteVSZ.ai (Zhipu AI)GLM-5.2

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

Our Take

This matchup represents a clear tradeoff between peak intelligence and budget efficiency. GLM-5.2 is noticeably superior (holding a 7.6% average lead in benchmarks), but it carries a significant 2.5x price premium. Choose GLM-5.2 if you need top-tier reasoning or code debugging, but for high-volume pipelines, Gemini 3.5 Flash Lite is the smarter business decision.

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Model Specs

Gemini 3.5 Flash Lite

Website

Benchmarks & Scores

Coding (swe-bench-pro)

54.2%

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

Reasoning (gpqa-diamond)

84%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)2.5x cheaper

$0.85Input: $0.30 | Output: $2.50

Context Window

1.05M tokens

Model Specs

GLM-5.2

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+7.9%)

62.1%

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

Reasoning (gpqa-diamond)Winner (+7.2%)

91.2%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$2.15Input: $1.40 | Output: $4.40

Context Window

1.05M tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.5 Flash Lite vs GLM-5.2

Gemini 3.5 Flash Lite is cheaper than GLM-5.2. Gemini 3.5 Flash Lite has a blended cost of $0.85/1M tokens, which is about 2.5x cheaper than GLM-5.2 at $2.15/1M tokens.

GLM-5.2 is better for coding tasks on this benchmark. It scores 62.1% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3.5 Flash Lite which scores 54.2%.

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