Comprehensive side-by-side LLM comparison
Pixtral Large leads with 6.8% higher average benchmark score. Phi-4-multimodal-instruct is $7.85 cheaper per million tokens. Overall, Pixtral Large 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.
Mistral AI
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
2 months newer

Pixtral Large
Mistral AI
2024-11-18

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

Phi-4-multimodal-instruct

Pixtral Large
Context window and performance specifications
Average performance across 5 common benchmarks

Phi-4-multimodal-instruct

Pixtral Large
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi-4-multimodal-instruct
DeepInfra

Pixtral Large

Phi-4-multimodal-instruct

Pixtral Large

Phi-4-multimodal-instruct

Pixtral Large
Mistral AI