Gemma 3n 4B

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks such as text generation, speech recognition, translation, and image analysis. Leveraging innovations like Per-Layer Embedding (PLE) caching and the MatFormer architecture, Gemma 3n dynamically manages memory usage and computational load by selectively activating model parameters, significantly reducing runtime resource requirements. This model supports a wide linguistic range (trained in over 140 languages) and features a flexible 32K token context window. Gemma 3n can selectively load parameters, optimizing memory and computational efficiency based on the task or device capabilities, making it well-suited for privacy-focused, offline-capable applications and on-device AI solutions. [Read more in the blog post](https://developers.googleblog.com/en/introducing-gemma-3n/)

ChatGoogle33k tokens$0.0654 / $0.1308 · 1M

google/gemma-3n-e4b-it

Contexto
33k tokens
Máx. completion
—
Tools
No
JSON
Sí
Lanzamiento
2025-05-20

Llámalo desde Geek Hub

El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma-3n-e4b-it",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Consigue tu API key

Preguntas frecuentes

¿Qué es Gemma 3n 4B?
Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks such as text generation, speech recognition, translation, and image analysis. Leveraging innovations like Per-Layer Embedding (PLE) caching and the MatFormer architecture, Gemma 3n dynamically manages memory usage and computational load by selectively activating model parameters, significantly reducing runtime resource requirements. This model supports a wide linguistic range (trained in over 140 languages) and features a flexible 32K token context window. Gemma 3n can selectively load parameters, optimizing memory and computational efficiency based on the task or device capabilities, making it well-suited for privacy-focused, offline-capable applications and on-device AI solutions. [Read more in the blog post](https://developers.googleblog.com/en/introducing-gemma-3n/) Gemma 3n 4B corre en el API de Geek Hub (compatible con OpenAI). Id: google/gemma-3n-e4b-it.
¿Gemma 3n 4B es gratis?
No. El input cuesta $0.0654 / 1M tokens y el output $0.1308 / 1M tokens en Geek Hub (markup incluido).
¿Cuál es el contexto de Gemma 3n 4B?
Gemma 3n 4B tiene una ventana de 33k tokens.
¿Gemma 3n 4B soporta tool calling y structured outputs?
Gemma 3n 4B no publica tool calling en este endpoint. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó Gemma 3n 4B?
Gemma 3n 4B se lanzó el 20 de mayo de 2025.

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