Title: Llama 3.2 1B Instruct vs Llama 3.2 11B Vision Instruct %E2%80%94 LLM EU
Canonical: https://llmeu.com/es/compare/llama-3-2-1b-instruct-vs-llama-3-2-11b-vision-instruct/
Markdown mirror: https://llmeu.com/es/compare/llama-3-2-1b-instruct-vs-llama-3-2-11b-vision-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Llama 3.2 1B Instruct vs Llama 3.2 11B Vision 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

### [Llama 3.2 1B Instruct](/es/models/llama-3-2-1b-instruct/)

#### Puntos fuertes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 1.2B parameters it fits on a single accelerator
- the model page lists 6 languages the European Union publishes in, including en, de, fr, it
- 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 1.2B parameters, the weights fit on a single modest accelerator

#### Tareas

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

### [Llama 3.2 11B Vision Instruct](/es/models/llama-3-2-11b-vision-instruct/)

#### Puntos fuertes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 10.7B parameters it fits on a single accelerator
- the model page lists 6 languages the European Union publishes in, including en, de, fr, it
- 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 10.7B parameters, self-hosting needs a single accelerator with enough memory for the weights
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

#### Tareas

[Visi%C3%B3n](/es/tasks/vision/), [Soporte multiling%C3%BCe](/es/tasks/multilingual-support/)

**Tareas:** [Soporte multiling%C3%BCe](/es/tasks/multilingual-support/)

## Comparar modelos

- [Aya 23 8B vs Llama 3.2 11B Vision Instruct](/es/compare/aya-23-8b-vs-llama-3-2-11b-vision-instruct/)
- [Aya Expanse 8B vs Llama 3.2 11B Vision Instruct](/es/compare/aya-expanse-8b-vs-llama-3-2-11b-vision-instruct/)
- [Bloom 1b1 vs Llama 3.2 1B Instruct](/es/compare/bloom-1b1-vs-llama-3-2-1b-instruct/)
- [Bloom 560M vs Llama 3.2 1B Instruct](/es/compare/bloom-560m-vs-llama-3-2-1b-instruct/)
- [Bloomz 560M vs Llama 3.2 1B Instruct](/es/compare/bloomz-560m-vs-llama-3-2-1b-instruct/)
- [NVIDIA Cosmos Reason2 2B vs Llama 3.2 1B Instruct](/es/compare/cosmos-reason2-2b-vs-llama-3-2-1b-instruct/)