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DeepSeek-V3.1 vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 15.8% higher average benchmark score. DeepSeek-V3.1 offers 27.7K more tokens in context window than o3. DeepSeek-V3.1 is $8.73 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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-V3.1
DeepSeek
2025-01-10
o3
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($8.73 cheaper)
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o3
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek-V3.1
Average Score:53.0%
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o3
Average Score:68.8%(+15.8%)
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Coding66.0%
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o3
Coding69.1%(+3.1%)
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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
2 providers
DeepInfra
Novita
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o3
1 providers
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DeepSeek-V3.1
Avg Score:53.0%
Providers:2
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o3
Avg Score:68.8%(+15.8%)
Providers:1