Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 7.0% higher average benchmark score. Overall, Qwen2-VL-72B-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-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
5 months newer

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29

Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 4 common benchmarks

Phi-4-multimodal-instruct

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi-4-multimodal-instruct
DeepInfra

Qwen2-VL-72B-Instruct

Phi-4-multimodal-instruct

Qwen2-VL-72B-Instruct

Phi-4-multimodal-instruct

Qwen2-VL-72B-Instruct