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DeepSeek-V3 vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 7.2% higher average benchmark score. DeepSeek-V3 offers 101.4K more tokens in context window than o1-preview. DeepSeek-V3 is $73.63 cheaper per million tokens. Overall, o1-preview 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
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
3 months newer
o1-preview
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($73.63 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V3
Average Score:50.7%
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o1-preview
Average Score:58.0%(+7.2%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%(+0.7%)
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o1-preview
Coding41.3%
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-preview
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DeepSeek-V3
Avg Score:50.7%
Providers:1
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o1-preview
Avg Score:58.0%(+7.2%)
Providers:2