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DeepSeek-V3.2 Thinking vs o3
Comprehensive side-by-side LLM comparison
o3 offers 164.0K more tokens in context window than DeepSeek-V3.2 Thinking. DeepSeek-V3.2 Thinking is $47.26 cheaper per million tokens. o3 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 o3, released by OpenAI in April 2025, is a large reasoning model that applies extended chain-of-thought processing to deliver improved performance on complex math, science, and coding tasks. It features a 200K token context window and native image understanding, with demonstrated strong results on mathematics and software engineering benchmarks. o3 targets demanding analytical and engineering tasks where deliberate, multi-step reasoning produces significantly better outcomes than direct generation.
5 months newer
o3
OpenAI
2025-04-16
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($47.26 cheaper)
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o3
Input:$10.00
Output:$40.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2 Thinking
1 providers
DeepSeek
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o3
1 providers
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DeepSeek-V3.2 Thinking
Avg Score:0.0%
Providers:1
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o3
Avg Score:0.0%
Providers:1