Gemma 3n 4B
Open weightGoogle · Released May 2025 · Knowledge cutoff August 2024
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 part of Google's Gemini and Gemma catalog: Pro tiers lead on capability, Flash tiers on speed and price, and Gemma models are open weight.
Facts and pricing
- Provider
- Context window
- 33K tokens
- Input price
- 0.66 credits / 1M tokens ($0.060 raw)
- Output price
- 1.3 credits / 1M tokens ($0.12 raw)
- Vision (image input)
- No
- Tool calling
- No
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.10x margin. Raw prices shown per 1M tokens.
Try Gemma 3n 4B now
What Gemma 3n 4B is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
Example prompts
Prompts that suit a open weight model like Gemma 3n 4B:
- Draft a project update from these rough notes
- Explain how HTTPS works to a curious teenager
- Turn this list of features into a changelog entry
- Brainstorm objections to this proposal and how to answer them
Google family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | 66K | 2.8 | 16.5 | June 2026 |
| Nano Banana 2 (Gemini 3.1 Flash Image) | 131K | 5.5 | 33.0 | June 2026 |
| Nano Banana Pro (Gemini 3 Pro Image) | 66K | 22.0 | 132 | June 2026 |
| Gemini 3.5 Flash | 1.0M | 16.5 | 99.0 | May 2026 |
| Gemini 3.1 Flash Lite | 1.0M | 2.8 | 16.5 | May 2026 |
| Gemma 4 26B A4B (free) | 262K | 0 | 0 | April 2026 |
| Gemma 4 26B A4B | 262K | 0.66 | 3.6 | April 2026 |
| Gemma 4 31B (free) | 262K | 0 | 0 | April 2026 |
| Gemma 4 31B | 262K | 1.3 | 3.8 | April 2026 |
| Lyria 3 Pro Preview | 1.0M | 0 | 0 | March 2026 |
Frequently asked questions
- What is Gemma 3n 4B?
- Gemma 3n 4B is an AI model by Google. 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...
- How much does Gemma 3n 4B cost on Zeplik?
- Input tokens cost 0.66 credits per million and output tokens 1.3 credits per million (1 credit = $0.10; the raw provider rates are $0.060 and $0.12 per million). New accounts start with free credits.
- How long can a conversation with Gemma 3n 4B be?
- Gemma 3n 4B has a 33K-token context window (32,768 tokens), which covers the conversation plus any documents you attach.
- Does Gemma 3n 4B support images and tools?
- Gemma 3n 4B is text-only and does not support tool calling.
Related models
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...
Gemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced...
Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...