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GLM-4.7 vs GPT-5.2
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 15.7% higher average benchmark score. GPT-5.2 supports multimodal inputs. Overall, GPT-5.2 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-5.2, released by OpenAI on December 11, 2025, is a large language model from the GPT-5 family that improves on GPT-5 in general intelligence, long-context understanding, agentic tool-calling, and vision. It features a 400K token context window, 128K maximum output tokens, and a knowledge cutoff of August 2025. GPT-5.2 targets long-context coding tasks, extended document analysis, and complex agentic workflows requiring reliable instruction following.
11 days newer
GPT-5.2
OpenAI
2025-12-11
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-5.2
Average Score:65.2%(+15.7%)
Performance comparison across key benchmark categories
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GLM-4.7
Coding49.5%
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GPT-5.2
Coding65.2%(+15.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-5.2
2025-08
More recent knowledge cutoff means awareness of newer technologies and frameworks
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-5.2
0 providers
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GLM-4.7
Avg Score:49.5%
Providers:1
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GPT-5.2
Avg Score:65.2%(+15.7%)
Providers:0