Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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.
Qwen2.5 14B Instruct
Alibaba
Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.
Qwen2.5 14B Instruct
Alibaba
2024-09-19
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
12 days newer
Average performance across 4 common benchmarks
Llama 3.1 Nemotron 70B Instruct
Qwen2.5 14B Instruct
Performance comparison across key benchmark categories
Llama 3.1 Nemotron 70B Instruct
Qwen2.5 14B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 Nemotron 70B Instruct
Qwen2.5 14B Instruct
Llama 3.1 Nemotron 70B Instruct
Qwen2.5 14B Instruct