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DeepSeek-V3.2 Thinking vs GLM-4.7
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GLM-4.7 offers 68.1K more tokens in context window than DeepSeek-V3.2 Thinking. GLM-4.7 is $1.74 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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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.
2 months newer
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
GLM-4.7
Zhipu AI
2025-12-22
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2 Thinking
Input:$0.55
Output:$2.19
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GLM-4.7
Input:$0.50
Output:$0.50($1.74 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.2 Thinking
Average Score:73.1%
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GLM-4.7
Average Score:73.8%(+0.7%)
Performance comparison across key benchmark categories
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DeepSeek-V3.2 Thinking
Coding73.1%
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GLM-4.7
Coding73.8%(+0.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2 Thinking
1 providers
DeepSeek
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GLM-4.7
1 providers
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DeepSeek-V3.2 Thinking
Avg Score:73.1%
Providers:1
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GLM-4.7
Avg Score:73.8%(+0.7%)
Providers:1