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DeepSeek-V3.2 vs GLM-4.7
Comprehensive side-by-side LLM comparison
GLM-4.7 leads with 3.8% higher average benchmark score. GLM-4.7 offers 68.1K more tokens in context window than DeepSeek-V3.2. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks under an open MIT license.
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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.
21 days newer
DeepSeek-V3.2
DeepSeek
2025-12-01
GLM-4.7
Zhipu AI
2025-12-22
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2
Input:$0.27
Output:$1.10
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GLM-4.7
Input:$0.50
Output:$0.50($0.37 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.2
Average Score:37.5%
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GLM-4.7
Average Score:41.3%(+3.8%)
Performance comparison across key benchmark categories
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DeepSeek-V3.2
Coding37.5%
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GLM-4.7
Coding41.3%(+3.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2
1 providers
DeepSeek
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GLM-4.7
1 providers
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DeepSeek-V3.2
Avg Score:37.5%
Providers:1
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GLM-4.7
Avg Score:41.3%(+3.8%)
Providers:1