Title: Gemma 4 E2B It vs Gemma 4 26B A4B IT: Par%C3%A1metros %E2%80%94 LLM EU
Canonical: https://llmeu.com/es/compare/gemma-4-e2b-it-vs-gemma-4-26b-a4b-it/
Markdown mirror: https://llmeu.com/es/compare/gemma-4-e2b-it-vs-gemma-4-26b-a4b-it.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Gemma 4 E2B It vs Gemma 4 26B A4B IT

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

### [Gemma 4 E2B It](/es/models/gemma-4-e2b-it/)

#### 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 5.1B parameters it fits on a single accelerator
- instruction-tuned checkpoint with a chat template in the repository
- speech recognition runs locally, so audio never leaves the operator premises

#### 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 5.1B 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

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

### [Gemma 4 26B A4B IT](/es/models/gemma-4-26b-a4b-it/)

#### Puntos fuertes

- mid-size option with the 256K-token window of the larger model
- Apache-2.0 licence
- text and image input
- vendor reports near-flagship scores at a smaller footprint

#### L%C3%ADmites

- the "A4B" suffix is the vendor%E2%80%99s own designation and is not defined on the model card
- scores are self-reported
- no evaluation has been run by LLM EU

#### Tareas

[Razonamiento](/es/tasks/reasoning/), [Codificaci%C3%B3n](/es/tasks/coding/), [Visi%C3%B3n](/es/tasks/vision/), [Resumen](/es/tasks/summarization/), [Bajo coste](/es/tasks/cheap/)

**Tareas:** [Bajo coste](/es/tasks/cheap/), [Visi%C3%B3n](/es/tasks/vision/)

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