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Google

Gemini 2.5 Pro

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, Gemini 2.5 Pro compensates by delivering 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 Pro 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 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
84.4%

Cost & Performance

Cost (per 1M tokens)
$3.44Input: $1.25 | Output: $10.00
Speed
117 tps
Context Window
1M tokens
Model Specs

GLM-5.2

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
62.1%
Reasoning (gpqa-diamond)Winner (+6.8%)
91.2%

Cost & Performance

Cost (per 1M tokens)1.6x cheaper
$2.15Input: $1.40 | Output: $4.40
Speed
N/A
Context WindowLarger
1.05M tokens
Read our data collection methodology

Frequently Asked Questions

GLM-5.2 is cheaper than Gemini 2.5 Pro. GLM-5.2 has a blended cost of $2.15/1M tokens, which is about 1.6x cheaper than Gemini 2.5 Pro at $3.44/1M tokens.

Speed data is not available for GLM-5.2, while Gemini 2.5 Pro generates 117 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 Pro which scores N/A.

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