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DeepSeek-V2.5 vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 1.9% higher average benchmark score. Nova Pro offers 583.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $3.58 cheaper per million tokens. Nova Pro supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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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Amazon
Amazon Nova Pro was developed as the flagship model in the Nova family, designed to provide advanced multimodal understanding across text, images, and other modalities. Built to handle complex tasks requiring sophisticated reasoning, it represents Amazon's most capable offering for enterprise applications.
6 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Nova Pro
Amazon
2024-11-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($3.58 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V2.5
Average Score:84.7%
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Nova Pro
Average Score:86.6%(+1.9%)
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:84.7%
Providers:3
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Nova Pro
Avg Score:86.6%(+1.9%)
Providers:1