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DeepSeek-V3.1 vs DeepSeek-V3.2 Thinking
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 is $1.37 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
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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.
1 month newer
DeepSeek-V3.1
DeepSeek
2025-08-21
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.10($1.37 cheaper)
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DeepSeek-V3.2 Thinking
Input:$0.55
Output:$2.19
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
1 providers
DeepSeek
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DeepSeek-V3.2 Thinking
1 providers
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DeepSeek-V3.1
Avg Score:0.0%
Providers:1
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DeepSeek-V3.2 Thinking
Avg Score:0.0%
Providers:1