Analysis Summary
Gemma 3n 4B is a low-cost Google variant with a 32K context window and text-only output in the supplied specification. Unlike the free listing, this paid variant has no benchmark data of its own, so its reasoning, coding, instruction-following, and reliability profile cannot be confirmed from this record.
The likely business role is straightforward classification, extraction, rewriting, and other low-risk automation where modest quality is acceptable. Its pricing supports high-volume experimentation, but the absence of model-specific measurements means teams should validate it against real prompts before committing production traffic. It is not a documented choice for multimodal work, tools, or autonomous agents.
Adopt only for simple, supervised workflows after testing. Keep a stronger fallback for anything customer-facing or strategically important.
Assessed August 9, 2026
Editorial notes
The paid Gemma 3n 4B variant is inexpensive and offers a 32K context window, but it has no benchmark data of its own and no documented tool or vision capability here. It is best reserved for simple automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
The paid Gemma 3n 4B variant is inexpensive and offers a 32K context window, but it has no benchmark data of its own and no documented tool or vision capability here. It is best reserved for simple automation.
How Google: Gemma 3n 4B compares
Its 33K-token context window is larger than 27% of the models we list. At $0.06 per million input tokens it is cheaper than 74% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.06 | $0.000060 |
| Output | $0.12 | $0.000120 |
What would Google: Gemma 3n 4B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 718 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemma 3n 4B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: 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..
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Frequently asked questions about Google: Gemma 3n 4B
How much does Google: Gemma 3n 4B cost?
Google: Gemma 3n 4B costs $0.06 per million input tokens and $0.12 per million output tokens.
What is the context window of Google: Gemma 3n 4B?
Google: Gemma 3n 4B has a context window of 32,768 tokens (33K).
Who created Google: Gemma 3n 4B?
Google: Gemma 3n 4B is developed by Google and was released on May 20, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 26, 2026 8:38 pm