Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 Nemotron Nano 8B V1
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.
Qwen2-VL-72B-Instruct
Alibaba
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.
Qwen2-VL-72B-Instruct
Alibaba
2024-08-29
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
6 months newer
Performance comparison across key benchmark categories
Llama 3.1 Nemotron Nano 8B V1
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 Nemotron Nano 8B V1
Qwen2-VL-72B-Instruct
Llama 3.1 Nemotron Nano 8B V1
Qwen2-VL-72B-Instruct