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DeepSeek-V2.5 vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 15.2% higher average benchmark score. o1-preview offers 144.4K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $74.58 cheaper per million tokens. Overall, o1-preview is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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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.
4 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
o1-preview
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($74.58 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V2.5
Average Score:57.3%
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o1-preview
Average Score:72.5%(+15.2%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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o1-preview
Coding41.3%(+24.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:57.3%
Providers:3
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o1-preview
Avg Score:72.5%(+15.2%)
Providers:2