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DeepSeek-V3 vs Nova Pro
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 3.8% higher average benchmark score. Nova Pro offers 337.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $2.63 cheaper per million tokens. Nova Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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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.
1 month newer
Nova Pro
Amazon
2024-11-20
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($2.63 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3
Average Score:81.3%(+3.8%)
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Nova Pro
Average Score:77.6%
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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Nova Pro
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DeepSeek-V3
Avg Score:81.3%(+3.8%)
Providers:1
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Nova Pro
Avg Score:77.6%
Providers:1