Gemma 3n 4B

Gemma 3n 4B by Google excels in the Coding category, where it ranks #333 with a composite score of 40/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Gemma 3n 4B is priced at $0.06 per million input tokens and $0.12 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Gemma 3n 4B holds rank #333 out of 378 models tracked. Its quality rank is #333 and adoption rank is #333. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Gemma 3n 4B has been evaluated across 5 different signals. Its strongest areas include Capabilities (33/100), Pricing (100/100), Context Window (72/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Gemma 3n 4B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Google's website for current free tier availability and promotional offers.

Gemma 3n 4B supports a 33K token context window (32,768 tokens total). That translates to roughly 24,576 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

Gemma 3n 4B supports structured JSON output, streaming responses. These capabilities determine which workflows and integrations the model can handle natively.

Yes, Gemma 3n 4B is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

Gemma 3n 4B was developed by Google. It was released on May 20, 2025. You can access it through Google's API or download the model weights directly. Check our provider page for all models from Google and how they compare against each other.

Pick Gemma 3n 4B when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Gemma 3n 4B through Google's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.