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DeepSeek R1 Distill Qwen 7B vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 57.1% higher average benchmark score. Nova Pro supports multimodal inputs. Overall, Nova Pro is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Amazon
Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon's latest advancement in AI technology.
2 months newer
Nova Pro
Amazon
2024-11-20
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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DeepSeek R1 Distill Qwen 7B
Average Score:8.8%
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Nova Pro
Average Score:65.9%(+57.1%)
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:8.8%
Providers:0
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Nova Pro
Avg Score:65.9%(+57.1%)
Providers:1