GoogleGemini 3.5 Flash LiteVSZ.ai (Zhipu AI)GLM-4.5

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

Our Take

These models use different coding benchmarks — with Gemini 3.5 Flash Lite 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) — but Gemini 3.5 Flash Lite holds a clear reasoning advantage (+4.1% on GPQA Diamond) while being cheaper or equal in cost to GLM-4.5. We recommend going with Gemini 3.5 Flash Lite for superior overall value and reasoning capabilities.

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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)Winner (+4.1%)

84%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)1.2x cheaper

$0.85Input: $0.30 | Output: $2.50

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)

$1.00Input: $0.60 | Output: $2.20

Context Window

131.07k tokens

Read our data collection methodology

Frequently Asked Questions about Gemini 3.5 Flash Lite vs GLM-4.5

Gemini 3.5 Flash Lite is cheaper than GLM-4.5. Gemini 3.5 Flash Lite has a blended cost of $0.85/1M tokens, which is about 1.2x cheaper than GLM-4.5 at $1.00/1M tokens.

For coding tasks, Gemini 3.5 Flash Lite scores 54.2% 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).

Related Matchups

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GoogleGemini 3.5 Flash Lite

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