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DeepSeek-V2.5 vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 13.9% 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 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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NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). Released in 2024, it represents NVIDIA's latest advancement in AI technology.
4 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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DeepSeek-V2.5
Average Score:46.4%(+13.9%)
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Llama 3.1 Nemotron 70B Instruct
Average Score:32.5%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
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:46.4%(+13.9%)
Providers:3
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Llama 3.1 Nemotron 70B Instruct
Avg Score:32.5%
Providers:0