OpenAI GPT-5.6 Luna VS Z.ai (Zhipu AI) GLM-5.2
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Luna is the premium intelligence choice, scoring 0.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GLM-5.2 is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GLM-5.2 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Luna fully justifies the cost.
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Model Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+0.6%)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+1.1%)
92.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.25Input: $1.00 | Output: $6.00Context WindowLarger
1.05M tokensModel Specs
GLM-5.2
Benchmarks & Scores
Coding (swe-bench-pro)
62.1%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
91.2%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40Context Window
1.05M tokensFrequently Asked Questions about GPT-5.6 Luna vs GLM-5.2 comparison
GLM-5.2 is cheaper than GPT-5.6 Luna. GLM-5.2 has a blended cost of $2.15/1M tokens, which is about 1.0x cheaper than GPT-5.6 Luna at $2.25/1M tokens.
GPT-5.6 Luna is better for coding tasks on this benchmark. It scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GLM-5.2 which scores 62.1%.
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