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DeepSeek-V3 vs o3-pro
Comprehensive side-by-side LLM comparison
o3-pro offers 37.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $98.63 cheaper per million tokens. o3-pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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OpenAI
o3-pro was developed as the flagship reasoning model in the o3 family, designed to deliver maximum reasoning depth and reliability for the most challenging analytical tasks. Built for professionals requiring the highest level of thoughtful problem-solving, it extends reasoning capabilities to handle complex multi-step challenges across diverse domains.
5 months newer
DeepSeek-V3
DeepSeek
2024-12-25
o3-pro
OpenAI
2025-06-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($98.63 cheaper)
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o3-pro
Input:$20.00
Output:$80.00
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
o3-pro
2024-05-31
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
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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o3-pro
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DeepSeek-V3
Avg Score:0.0%
Providers:1
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o3-pro
Avg Score:0.0%
Providers:1