Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Nano 8B V1 leads with 27.9% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Llama 3.1 Nemotron Nano 8B V1 is the stronger choice for coding tasks.
NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Average performance across 11 common benchmarks
Llama 3.1 Nemotron Nano 8B V1
QvQ-72B-Preview
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Available providers and their performance metrics
Llama 3.1 Nemotron Nano 8B V1
QvQ-72B-Preview
Llama 3.1 Nemotron Nano 8B V1
QvQ-72B-Preview