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DeepSeek-V3.1 vs o3-mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 14.7% higher average benchmark score. DeepSeek-V3.1 offers 27.7K more tokens in context window than o3-mini. DeepSeek-V3.1 is $4.23 cheaper per million tokens. Overall, DeepSeek-V3.1 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-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
20 days newer
DeepSeek-V3.1
DeepSeek
2025-01-10
o3-mini
OpenAI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($4.23 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V3.1
Average Score:73.8%(+14.7%)
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o3-mini
Average Score:59.1%
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Coding66.0%(+16.7%)
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o3-mini
Coding49.3%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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-mini
2 providers
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DeepSeek-V3.1
Avg Score:73.8%(+14.7%)
Providers:2
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o3-mini
Avg Score:59.1%
Providers:2