Title: Qwen3.5 2B vs Qwen3.5 4B: Par%C3%A1metros, Licencia %E2%80%94 LLM EU
Canonical: https://llmeu.com/es/compare/qwen3-5-2b-vs-qwen3-5-4b/
Markdown mirror: https://llmeu.com/es/compare/qwen3-5-2b-vs-qwen3-5-4b.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Qwen3.5 2B vs Qwen3.5 4B

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

### [Qwen3.5 2B](/es/models/qwen3-5-2b/)

#### Puntos fuertes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 2.3B parameters it fits on a single accelerator

#### 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 2.3B parameters, the weights fit on a single modest accelerator
- 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/), [Bajo coste](/es/tasks/cheap/), [Soporte multiling%C3%BCe](/es/tasks/multilingual-support/)

### [Qwen3.5 4B](/es/models/qwen3-5-4b/)

#### Puntos fuertes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 4.7B parameters it fits on a single accelerator

#### 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 4.7B parameters, the weights fit on a single modest accelerator
- 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:** [Visi%C3%B3n](/es/tasks/vision/), [Soporte multiling%C3%BCe](/es/tasks/multilingual-support/)

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