Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 9.6% higher average benchmark score. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
27 days newer

Phi-4-multimodal-instruct
Microsoft
2025-02-01

Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Context window and performance specifications
Average performance across 4 common benchmarks

Phi-4-multimodal-instruct

Qwen2.5 VL 32B Instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi-4-multimodal-instruct
DeepInfra

Qwen2.5 VL 32B Instruct

Phi-4-multimodal-instruct

Qwen2.5 VL 32B Instruct

Phi-4-multimodal-instruct

Qwen2.5 VL 32B Instruct