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DeepSeek-V3 vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 33.9% higher average benchmark score. o3 offers 37.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $8.63 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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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 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
o3
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($8.63 cheaper)
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o3
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3
Average Score:47.5%
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o3
Average Score:81.3%(+33.9%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%
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o3
Coding69.1%(+27.1%)
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Knowledge Cutoff
Training data recency comparison
o3
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
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DeepSeek-V3
Avg Score:47.5%
Providers:1
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o3
Avg Score:81.3%(+33.9%)
Providers:1