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DeepSeek-V2.5 vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 24.6% higher average benchmark score. Nova Pro offers 583.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $3.58 cheaper per million tokens. Nova Pro supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, Nova Pro is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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.
6 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Nova Pro
Amazon
2024-11-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($3.58 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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DeepSeek-V2.5
Average Score:28.8%
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Nova Pro
Average Score:53.4%(+24.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:28.8%
Providers:3
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Nova Pro
Avg Score:53.4%(+24.6%)
Providers:1