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DeepSeek-V3.1 vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 24.8% higher average benchmark score. Nova Pro offers 272.3K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $2.73 cheaper per million tokens. Nova Pro supports multimodal inputs. Overall, Nova Pro is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. 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.
1 month newer
Nova Pro
Amazon
2024-11-20
DeepSeek-V3.1
DeepSeek
2025-01-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($2.73 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 42 common benchmarks
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DeepSeek-V3.1
Average Score:22.3%
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Nova Pro
Average Score:47.1%(+24.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Nova Pro
1 providers
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DeepSeek-V3.1
Avg Score:22.3%
Providers:2
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Nova Pro
Avg Score:47.1%(+24.8%)
Providers:1