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DeepSeek-V2.5 vs Llama 3.1 Nemotron Nano 8B V1
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 9.2% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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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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NVIDIA
Llama 3.1 Nemotron Nano 8B was created as a compact variant optimized by NVIDIA, designed to bring Llama 3.1 capabilities to more efficient deployments. Built with NVIDIA's efficiency optimizations, it serves applications requiring strong performance with reduced resource requirements.
10 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V2.5
Average Score:90.2%(+9.2%)
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Llama 3.1 Nemotron Nano 8B V1
Average Score:81.0%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
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:90.2%(+9.2%)
Providers:3
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:81.0%
Providers:0