Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V2.5
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.
Llama 3.1 Nemotron 70B Instruct
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%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.
DeepSeek-V2.5
DeepSeek
2024-05-08
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
4 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V2.5
Llama 3.1 Nemotron 70B Instruct
Average performance across 3 common benchmarks
DeepSeek-V2.5
Llama 3.1 Nemotron 70B Instruct
Performance comparison across key benchmark categories
DeepSeek-V2.5
Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek
Llama 3.1 Nemotron 70B Instruct
DeepSeek-V2.5
Llama 3.1 Nemotron 70B Instruct