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Google

Gemini 2.5 Flash-Lite

VS
Z.ai (Zhipu AI)

GLM-5.2

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-5.2 is the premium intelligence choice, scoring 62.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 2.5 Flash-Lite is 12.3x cheaper to run and delivers 1.0x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 2.5 Flash-Lite offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-5.2 fully justifies the cost.

Model Specs

Gemini 2.5 Flash-Lite

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
62.5%

Cost & Performance

Cost (per 1M tokens)12.3x cheaper
$0.17Input: $0.10 | Output: $0.40
Speed
280 tps
Context Window
1M tokens
Model Specs

GLM-5.2

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
62.1%
Reasoning (gpqa-diamond)Winner (+28.7%)
91.2%

Cost & Performance

Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40
Speed
N/A
Context WindowLarger
1.05M tokens
Read our data collection methodology

Frequently Asked Questions

Gemini 2.5 Flash-Lite is cheaper than GLM-5.2. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 12.3x cheaper than GLM-5.2 at $2.15/1M tokens.

Speed data is not available for GLM-5.2, while Gemini 2.5 Flash-Lite generates 280 tokens per second.

GLM-5.2 is better for coding tasks. It scores 62.1% on coding evaluations (swe-bench-pro) compared to Gemini 2.5 Flash-Lite which scores N/A.

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