Google: Gemma 3n 4B (free)
by google
About
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/)
Specifications
Error Rate
Based on feedback reported by Free LLM Router users. Error rate reflects the percentage of requests that encountered issues such as rate limiting, unavailability, or errors. Learn more.
Availability
Available 41 of 41 tracked days. Daily snapshots show whether this model was accessible as a free model on OpenRouter.
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Frequently Asked Questions
Is Google: Gemma 3n 4B (free) free to use?
Yes, Google: Gemma 3n 4B (free) is completely free to use through OpenRouter. You can access it via the Free LLM Router API at no cost.
What is the context window for Google: Gemma 3n 4B (free)?
Google: Gemma 3n 4B (free) supports a context window of 8K tokens (8,192 tokens).
What is the maximum output length for Google: Gemma 3n 4B (free)?
Google: Gemma 3n 4B (free) can generate up to 2K tokens (2,048 tokens) per response.