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DeepSeek-V3.2 Thinking vs GLM 5
Comprehensive side-by-side LLM comparison
GLM 5 leads with 4.7% higher average benchmark score. GLM 5 offers 68.1K more tokens in context window than DeepSeek-V3.2 Thinking. DeepSeek-V3.2 Thinking is $0.62 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-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
4 months newer
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
GLM 5
Zhipu AI
2026-02-11
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2 Thinking
Input:$0.55
Output:$2.19($0.62 cheaper)
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GLM 5
Input:$0.80
Output:$2.56
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 5
Average Score:77.8%(+4.7%)
Performance comparison across key benchmark categories
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DeepSeek-V3.2 Thinking
Coding73.1%
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GLM 5
Coding77.8%(+4.7%)
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 5
1 providers
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DeepSeek-V3.2 Thinking
Avg Score:73.1%
Providers:1
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GLM 5
Avg Score:77.8%(+4.7%)
Providers:1