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DeepSeek VL2 Small vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 27.1% higher average benchmark score. Overall, Nova Pro is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
23 days newer
Nova Pro
Amazon
2024-11-20
DeepSeek VL2 Small
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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DeepSeek VL2 Small
Average Score:26.3%
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Nova Pro
Average Score:53.4%(+27.1%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Nova Pro
1 providers
Bedrock
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DeepSeek VL2 Small
Avg Score:26.3%
Providers:0
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Nova Pro
Avg Score:53.4%(+27.1%)
Providers:1