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DeepSeek-V3 vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 8.5% higher average benchmark score. o3-mini offers 37.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $4.13 cheaper per million tokens. Overall, o3-mini 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-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.
1 month newer
DeepSeek-V3
DeepSeek
2024-12-25
o3-mini
OpenAI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($4.13 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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DeepSeek-V3
Average Score:58.6%
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o3-mini
Average Score:67.1%(+8.5%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%
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o3-mini
Coding49.3%(+7.3%)
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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 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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o3-mini
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DeepSeek-V3
Avg Score:58.6%
Providers:1
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o3-mini
Avg Score:67.1%(+8.5%)
Providers:2