Title: Phi-4-multimodal-instruct vs Phi Mini MoE Instruct %E2%80%94 LLM EU
Canonical: https://llmeu.com/es/compare/phi-4-multimodal-instruct-vs-phi-mini-moe-instruct/
Markdown mirror: https://llmeu.com/es/compare/phi-4-multimodal-instruct-vs-phi-mini-moe-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Phi-4-multimodal-instruct vs Phi Mini MoE Instruct

Ponga de dos a cuatro modelos lado a lado seg%C3%BAn los campos que deciden un despliegue: contexto, precio, regi%C3%B3n, licencia, idiomas, alojamiento y qu%C3%A9 est%C3%A1 verificado.

Cuando dos modelos difieren, esta tabla muestra la diferencia y se detiene. LLM EU no publica ninguna insignia de ganador sin una puntuaci%C3%B3n documentada para esa tarea, y una cifra faltante sigue faltando en lugar de convertirse en un cero.

## Cu%C3%A1ndo usarlo

### [Phi-4-multimodal-instruct](/es/models/phi-4-multimodal-instruct/)

#### Puntos fuertes

- text, image and speech input at 5.6B parameters
- 128K-token context for document batches
- MIT licence
- 23 declared languages including most large EU languages

#### L%C3%ADmites

- modality-specific quality is below dedicated single-modality models
- English-centric training data
- no evaluation has been run by LLM EU

#### Tareas

[Visi%C3%B3n](/es/tasks/vision/), [Resumen](/es/tasks/summarization/), [Soporte multiling%C3%BCe](/es/tasks/multilingual-support/), [Bajo coste](/es/tasks/cheap/)

### [Phi Mini MoE Instruct](/es/models/phi-mini-moe-instruct/)

#### Puntos fuertes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- at 7.6B parameters it fits on a single accelerator
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository

#### L%C3%ADmites

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 7.6B parameters, the weights fit on a single modest accelerator

#### Tareas

[Razonamiento](/es/tasks/reasoning/), [Resumen](/es/tasks/summarization/)

**Tareas:** [Resumen](/es/tasks/summarization/)

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