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DeepSeek-R1 vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro offers 337.9K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $1.26 cheaper per million tokens. Nova Pro supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 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.
2 months newer
Nova Pro
Amazon
2024-11-20
DeepSeek-R1
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($1.26 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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DeepSeek-R1
Average Score:0.0%
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Nova Pro
Average Score:73.2%(+73.2%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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Nova Pro
Avg Score:73.2%(+73.2%)
Providers:1