Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, 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.

QvQ-72B-Preview
Alibaba
2024-12-25

Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
3 months newer
Performance comparison across key benchmark categories

Llama 3.1 Nemotron Ultra 253B v1

QvQ-72B-Preview
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 Nemotron Ultra 253B v1

QvQ-72B-Preview

Llama 3.1 Nemotron Ultra 253B v1

QvQ-72B-Preview