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DeepSeek R1 Zero vs Nova Lite
Comprehensive side-by-side LLM comparison
Nova Lite leads with 53.5% higher average benchmark score. Nova Lite supports multimodal inputs. Overall, Nova Lite is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). 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 Lite is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 70.7% across 27 benchmarks. It excels particularly in GSM8k (94.5%), ARC-C (92.4%), DocVQA (92.4%). It supports a 302K 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 Lite
Amazon
2024-11-20
DeepSeek R1 Zero
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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DeepSeek R1 Zero
Average Score:10.2%
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Nova Lite
Average Score:63.7%(+53.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Nova Lite
1 providers
Bedrock
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DeepSeek R1 Zero
Avg Score:10.2%
Providers:0
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Nova Lite
Avg Score:63.7%(+53.5%)
Providers:1