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DeepSeek-V2.5 vs DeepSeek-V3
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 14.0% higher average benchmark score. DeepSeek-V3 offers 245.8K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $0.95 cheaper per million tokens. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V3 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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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.
7 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($0.95 cheaper)
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DeepSeek-V3
Input:$0.27
Output:$1.10
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V2.5
Average Score:57.0%
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DeepSeek-V3
Average Score:71.0%(+14.0%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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DeepSeek-V3
Coding42.0%(+25.2%)
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:57.0%
Providers:3
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DeepSeek-V3
Avg Score:71.0%(+14.0%)
Providers:1