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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/)
Preço/1M
$0.00
1st mais barato
100% abaixo da mediana
Top 27%
Janela de Contexto
8K
331st maior
Top 96%
Entrada
$0.00
por 1M tokens
Saída
$0.00
por 1M tokens
Combinado
$0.00
por 1M tokens
Mais barato que 73% dos modelos. Preço mediano é $0.31/1M tokens.
Diário
$0.00
Mensal
$0.00
Janela de Contexto
8K
tokens
Maior que 4% dos modelos
Saída Máxima
2K
tokens
25% do contexto
Comparação de Janela de Contexto