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.
Qwen2.5-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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 2025, it represents Alibaba's latest advancement in AI technology.
Qwen2.5-Omni-7B
Alibaba
2025-03-27
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
11 days newer
Average performance across 1 common benchmarks
Llama 3.1 Nemotron Ultra 253B v1
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Llama 3.1 Nemotron Ultra 253B v1
Qwen2.5-Omni-7B
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
Qwen2.5-Omni-7B
Llama 3.1 Nemotron Ultra 253B v1
Qwen2.5-Omni-7B