Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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
Qwen 2.5 32B was created as a larger variant in the Qwen 2.5 family, designed to deliver enhanced capabilities with 32 billion parameters. Built to serve applications requiring stronger reasoning and generation quality, it represents a powerful option for demanding language understanding tasks.
4 months newer

Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi-4-multimodal-instruct
DeepInfra

Qwen2.5 32B Instruct

Phi-4-multimodal-instruct

Qwen2.5 32B Instruct

Phi-4-multimodal-instruct

Qwen2.5 32B Instruct