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GLM-4.7 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 4.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
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OpenAI
GPT-5 Codex, released by OpenAI in August 2025, is a coding-specialized large language model from the GPT-5 family engineered for software engineering, code generation, and agentic development workflows. It builds on GPT-5's architecture with optimizations targeting multi-file code editing, test generation, and automated debugging. GPT-5 Codex targets developers and agentic coding tools requiring a model tuned specifically for programming tasks.
4 months newer
GPT-5 Codex
OpenAI
2025-08
GLM-4.7
Zhipu AI
2025-12-22
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GLM-4.7
Average Score:49.5%
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GPT-5 Codex
Average Score:54.0%(+4.5%)
Performance comparison across key benchmark categories
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GLM-4.7
Coding49.5%
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GPT-5 Codex
Coding54.0%(+4.5%)
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.7
1 providers
Zhipu AI
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GPT-5 Codex
0 providers
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GLM-4.7
Avg Score:49.5%
Providers:1
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GPT-5 Codex
Avg Score:54.0%(+4.5%)
Providers:0