Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct is $2.25 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Mistral AI
Devstral Medium was created as a development-focused model, designed to assist with software engineering workflows and developer-centric tasks. Built to provide balanced capability for coding, debugging, and technical documentation, it serves as a versatile tool for professional development environments.
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.
5 months newer

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

Devstral Medium
Mistral AI
2025-07-10
Cost per million tokens (USD)

Devstral Medium

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

Devstral Medium
Mistral AI

Phi-4-multimodal-instruct

Devstral Medium

Phi-4-multimodal-instruct

Devstral Medium

Phi-4-multimodal-instruct
DeepInfra