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GLM-4.7 vs GPT-5.1 Codex
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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-5.1 Codex, released by OpenAI in November 2025, is a coding-specialized model from the GPT-5.1 family engineered for software engineering tasks including code generation, multi-file editing, and agentic development. It targets developers and automated coding pipelines requiring a GPT-5.1-generation model tuned for programming.
1 month newer
GPT-5.1 Codex
OpenAI
2025-11
GLM-4.7
Zhipu AI
2025-12-22
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.7
Average Score:57.6%
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GPT-5.1 Codex
Average Score:58.3%(+0.7%)
Performance comparison across key benchmark categories
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GLM-4.7
Coding57.6%
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GPT-5.1 Codex
Coding58.3%(+0.7%)
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-5.1 Codex
0 providers
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GLM-4.7
Avg Score:57.6%
Providers:1
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GPT-5.1 Codex
Avg Score:58.3%(+0.7%)
Providers:0