GoogleGemini 2.5 ProVSZ.ai (Zhipu AI)GLM-4.5
Our Take
We recommend GLM-4.5 for a 3.4x API cost saving and superior coding capability, or Gemini 2.5 Pro if your workflow requires peak reasoning. While GLM-4.5 is more cost-effective, Gemini 2.5 Pro holds a clear reasoning advantage. Choose GLM-4.5 for code generation, or Gemini 2.5 Pro for complex logical reasoning.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Verified benchmark. Gemini 2.5 Pro scored 59.6%, while GLM-4.5 scored 64.2%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Gemini 2.5 Pro scored 84.4%, while GLM-4.5 scored 79.9%.
Cost Efficiency: Gemini 2.5 Pro pricing ($1.25/M input, $10/M output) is 3.4x cheaper than GLM-4.5 ($0.6/M input, $2.2/M output).
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Benchmarks & Scores
Coding (swe-bench-verified)
59.6%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)Winner (+4.5%)
84.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.44Input: $1.25 | Output: $10.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-verified)Winner (+4.6%)
64.2%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
79.9%graduate-level science QA
Cost & Context
Cost (per 1M tokens)3.4x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
131.07k tokensFrequently Asked Questions about Gemini 2.5 Pro vs GLM-4.5
GLM-4.5 is cheaper than Gemini 2.5 Pro. GLM-4.5 has a blended cost of $1.00/1M tokens, which is about 3.4x cheaper than Gemini 2.5 Pro at $3.44/1M tokens.
GLM-4.5 is better for coding tasks on this benchmark. It scores 64.2% on swe-bench-verified (multi-file code and clearly defined tasks) compared to Gemini 2.5 Pro which scores 59.6%.
Related Matchups
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