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DeepSeek-V2.5 vs Nova Micro
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 4.7% higher average benchmark score. Nova Micro offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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Amazon
Amazon Nova Micro was created as an ultra-compact multimodal model, designed for deployment in resource-constrained environments. Built to bring text and image understanding to edge devices and latency-sensitive applications, it extends Amazon's AI capabilities to minimal footprint scenarios.
6 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Nova Micro
Amazon
2024-11-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Nova Micro
Input:$0.03
Output:$0.14($0.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V2.5
Average Score:84.7%(+4.7%)
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Nova Micro
Average Score:80.0%
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:84.7%(+4.7%)
Providers:3
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Nova Micro
Avg Score:80.0%
Providers:1