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DeepSeek-V3 vs o1-mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek-V3 offers 68.6K more tokens in context window than o1-mini. DeepSeek-V3 is $13.63 cheaper per million tokens. 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
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
3 months newer
o1-mini
OpenAI
2024-09-12
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($13.63 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:79.3%(+0.9%)
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o1-mini
Average Score:78.4%
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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o1-mini
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DeepSeek-V3
Avg Score:79.3%(+0.9%)
Providers:1
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o1-mini
Avg Score:78.4%
Providers:2