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.

QvQ-72B-Preview
Alibaba
QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01

QvQ-72B-Preview
Alibaba
2024-12-25
2 months newer
Performance comparison across key benchmark categories

Llama 3.1 Nemotron 70B Instruct

QvQ-72B-Preview
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 Nemotron 70B Instruct

QvQ-72B-Preview

Llama 3.1 Nemotron 70B Instruct

QvQ-72B-Preview