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 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.
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28
5 months newer
Average performance across 1 common benchmarks
Llama 3.1 Nemotron 70B Instruct
Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories
Llama 3.1 Nemotron 70B Instruct
Qwen2.5 VL 32B Instruct
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 VL 32B Instruct
Llama 3.1 Nemotron 70B Instruct
Qwen2.5 VL 32B Instruct