OpenAIGPT-5.5VSZ.ai (Zhipu AI)GLM-5.2
Our Take
We recommend GLM-5.2 for a 5.2x API cost saving and superior coding capability, or GPT-5.5 if your workflow requires peak reasoning. While GLM-5.2 is more cost-effective, GPT-5.5 holds a clear reasoning advantage. Choose GLM-5.2 for code generation, or GPT-5.5 for complex logical reasoning.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. GPT-5.5 scored 58.6%, while GLM-5.2 scored 62.1%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.5 scored 93.6%, while GLM-5.2 scored 91.2%.
Cost Efficiency: GPT-5.5 pricing ($5/M input, $30/M output) is 5.2x cheaper than GLM-5.2 ($1.4/M input, $4.4/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+2.4%)
93.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+3.5%)
62.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
91.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)5.2x cheaper
$2.15Input: $1.40 | Output: $4.40Context Window
1.05M tokensFrequently Asked Questions about GPT-5.5 vs GLM-5.2
GLM-5.2 is cheaper than GPT-5.5. GLM-5.2 has a blended cost of $2.15/1M tokens, which is about 5.2x cheaper than GPT-5.5 at $11.25/1M tokens.
GLM-5.2 is better for coding tasks on this benchmark. It scores 62.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to GPT-5.5 which scores 58.6%.
Related Matchups
Explore similar comparisons for GPT-5.5 and GLM-5.2.
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