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GLM-4.7 vs GPT-5.3 Codex
Comprehensive side-by-side LLM comparison
GPT-5.3 Codex leads with 31.3% higher average benchmark score. Overall, GPT-5.3 Codex is the stronger choice for coding tasks.
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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-5.3 Codex, released by OpenAI in February 2026, is a coding-specialized large language model from the GPT-5.3 family. It targets software engineering workflows including automated code generation, test writing, and agentic multi-file editing, built on the incremental improvements of the GPT-5.3 generation.
1 month newer
GLM-4.7
Zhipu AI
2025-12-22
GPT-5.3 Codex
OpenAI
2026-02
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.7
Average Score:33.4%
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GPT-5.3 Codex
Average Score:64.7%(+31.3%)
Performance comparison across key benchmark categories
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GLM-4.7
Coding33.4%
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GPT-5.3 Codex
Coding64.7%(+31.3%)
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-5.3 Codex
0 providers
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GLM-4.7
Avg Score:33.4%
Providers:1
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GPT-5.3 Codex
Avg Score:64.7%(+31.3%)
Providers:0