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.
Qwen2.5 VL 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 VL 32B Instruct
Alibaba
2025-02-28
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
18 days newer
Average performance across 2 common benchmarks
Llama 3.1 Nemotron Nano 8B V1
Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories
Llama 3.1 Nemotron Nano 8B V1
Qwen2.5 VL 32B Instruct
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
Qwen2.5 VL 32B Instruct
Llama 3.1 Nemotron Nano 8B V1
Qwen2.5 VL 32B Instruct