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DeepSeek R1 Distill Qwen 7B vs Nova Pro
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 2.2% higher average benchmark score. Nova Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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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 Distill Qwen 7B
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 Distill Qwen 7B
Average Score:49.1%(+2.2%)
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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 Distill Qwen 7B
0 providers
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Nova Pro
1 providers
Bedrock
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DeepSeek R1 Distill Qwen 7B
Avg Score:49.1%(+2.2%)
Providers:0
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Nova Pro
Avg Score:46.9%
Providers:1