Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 2.3% higher average benchmark score. Phi-4-multimodal-instruct offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. 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.
Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
4 months newer

Pixtral-12B
Mistral AI
2024-09-17

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

Phi-4-multimodal-instruct

Pixtral-12B
Context window and performance specifications
Average performance across 4 common benchmarks

Phi-4-multimodal-instruct

Pixtral-12B
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics

Phi-4-multimodal-instruct
DeepInfra

Pixtral-12B

Phi-4-multimodal-instruct

Pixtral-12B

Phi-4-multimodal-instruct

Pixtral-12B
Mistral AI