OpenAI GPT-5.6 Luna VS Z.ai (Zhipu AI) GLM-4.7
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GLM-4.7 is the premium intelligence choice, scoring 11.1% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GPT-5.6 Luna offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-4.7 fully justifies the cost.
Was this recommendation helpful?
Model Specs
GPT-5.6 Luna
Benchmarks & Scores
Coding (swe-bench-pro)
62.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+6.6%)
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-4.7
Benchmarks & Scores
Coding (swe-bench-verified)
73.8%good at editing existing code, cross-file updates, and multi-component systems
Reasoning (gpqa-diamond)
85.7%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)2.3x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
204.8k tokensFrequently Asked Questions about GPT-5.6 Luna vs GLM-4.7 comparison
GLM-4.7 is cheaper than GPT-5.6 Luna. GLM-4.7 has a blended cost of $1.00/1M tokens, which is about 2.3x cheaper than GPT-5.6 Luna at $2.25/1M tokens.
For coding tasks, GPT-5.6 Luna scores 62.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases), while GLM-4.7 scores 73.8% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems).
Related Matchups
Explore similar comparisons for GPT-5.6 Luna and GLM-4.7.