Comprehensive side-by-side LLM comparison
Qwen2.5-VL 32B Instruct leads with 6.4% higher average benchmark score. Overall, Qwen2.5-VL 32B Instruct is the stronger choice for coding tasks.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
Alibaba / Qwen
Qwen2.5-VL-32B-Instruct is a 32-billion-parameter vision-language model from Alibaba, extending the Qwen2.5 architecture with multimodal capabilities for understanding images, documents, charts, and video frames alongside text. The model was designed for tasks requiring deep visual reasoning — such as document parsing, table extraction, and spatial understanding — with performance that made it a practical choice for document intelligence and visual data analysis workflows. As an open-weight model, it became a widely adopted foundation for fine-tuning domain-specific multimodal applications.
1 month newer
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Average performance across 1 common benchmarks
Llama 4 Maverick
Qwen2.5-VL 32B Instruct
Performance comparison across key benchmark categories
Llama 4 Maverick
Qwen2.5-VL 32B Instruct
Available providers and their performance metrics
Llama 4 Maverick
Together AI
Qwen2.5-VL 32B Instruct
Llama 4 Maverick
Qwen2.5-VL 32B Instruct
Llama 4 Maverick
Qwen2.5-VL 32B Instruct