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DeepSeek R1 Zero vs Nova Pro
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 26.4% higher average benchmark score. Nova Pro supports multimodal inputs. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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.
2 months newer
Nova Pro
Amazon
2024-11-20
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+26.4%)
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Nova Pro
Average Score:46.9%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Nova Pro
1 providers
Bedrock
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DeepSeek R1 Zero
Avg Score:73.3%(+26.4%)
Providers:0
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Nova Pro
Avg Score:46.9%
Providers:1