Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct offers 190.5K more tokens in context window than Mistral Small. Phi-4-multimodal-instruct is $0.65 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Mistral AI
Mistral Small was created as an efficient model offering, designed to provide capable language understanding with reduced computational requirements. Built to serve cost-sensitive applications while maintaining quality, it enables Mistral's technology in scenarios where resource efficiency is valued.
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.
4 months newer

Mistral Small
Mistral AI
2024-09-17

Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)

Mistral Small

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

Mistral Small
Mistral AI

Phi-4-multimodal-instruct

Mistral Small

Phi-4-multimodal-instruct

Mistral Small

Phi-4-multimodal-instruct
DeepInfra