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-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.

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

Qwen2.5-Omni-7B
Alibaba
2025-03-27
5 months newer
Average performance across 1 common benchmarks

Llama 3.1 Nemotron 70B Instruct

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

Llama 3.1 Nemotron 70B Instruct

Qwen2.5-Omni-7B
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-Omni-7B

Llama 3.1 Nemotron 70B Instruct

Qwen2.5-Omni-7B