Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
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.
12 days newer

DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20

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

DeepSeek R1 Distill Qwen 14B

Phi-4-multimodal-instruct
DeepInfra

DeepSeek R1 Distill Qwen 14B

Phi-4-multimodal-instruct

DeepSeek R1 Distill Qwen 14B

Phi-4-multimodal-instruct