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DeepSeek-V3 vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 15.7% higher average benchmark score. o1 offers 37.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $73.63 cheaper per million tokens. Overall, o1 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 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
8 days newer
o1
OpenAI
2024-12-17
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
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
Average Score:66.4%(+15.7%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%(+1.0%)
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o1
Coding41.0%
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
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DeepSeek-V3
Avg Score:50.7%
Providers:1
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o1
Avg Score:66.4%(+15.7%)
Providers:2