Comprehensive side-by-side LLM comparison
Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation 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.
6 months newer

Mistral NeMo Instruct
Mistral AI
2024-07-18

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

Mistral NeMo Instruct

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

Mistral NeMo Instruct
Mistral AI


Mistral NeMo Instruct

Phi-4-multimodal-instruct

Mistral NeMo Instruct

Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
DeepInfra