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DeepSeek-V3.2 Thinking vs o1
Comprehensive side-by-side LLM comparison
o1 offers 164.0K more tokens in context window than DeepSeek-V3.2 Thinking. DeepSeek-V3.2 Thinking is $72.26 cheaper per million tokens. o1 supports multimodal inputs. 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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OpenAI
OpenAI o1, released by OpenAI in December 2024, is a reasoning-focused large language model that applies extended chain-of-thought processing before generating responses. It features a 200K token context window and native image understanding, demonstrating strong performance on STEM benchmarks requiring multi-step reasoning. o1 targets mathematics, science, and coding tasks where careful deliberation over the problem produces more accurate outputs than direct generation.
9 months newer
o1
OpenAI
2024-12-05
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2 Thinking
Input:$0.55
Output:$2.19($72.26 cheaper)
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o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
o1
2023-10
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2 Thinking
1 providers
DeepSeek
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o1
1 providers
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DeepSeek-V3.2 Thinking
Avg Score:0.0%
Providers:1
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o1
Avg Score:0.0%
Providers:1