Gemma 3 4B
Open weightVisionGoogle · Released March 2025 · Knowledge cutoff August 2024
Gemma 3 introduces multimodality, supporting vision-language input and text outputs.
It is part of Google's Gemini and Gemma catalog: Pro tiers lead on capability, Flash tiers on speed and price, Nano Banana covers image generation, and Gemma models are open weight.
Facts and pricing
- Provider
- Context window
- 131K tokens
- Input price
- 0.60 credits / 1M tokens ($0.050 raw)
- Output price
- 1.2 credits / 1M tokens ($0.10 raw)
- Vision (image input)
- Yes
- Tool calling
- No
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin. Raw prices shown per 1M tokens.
Try Gemma 3 4B now
What Gemma 3 4B is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- Working with images: screenshots, charts, photos and scanned documents alongside text
Example prompts
Prompts that suit a open weight model like Gemma 3 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 |
|---|---|---|---|---|
| Gemini 4 Argon | 1.0M | 24.0 | 120 | October 2026 |
| Nano Banana 2.1 | 66K | 18.0 | 90.0 | October 2026 |
| Gemini 3.8 Flash | 1.0M | 9.0 | 45.0 | September 2026 |
| Gemini 3.8 Flash (batch) | 1.0M | 4.5 | 22.5 | September 2026 |
| Gemini 3.7 Flash (batch) | 1.0M | 4.5 | 22.5 | August 2026 |
| Gemini 3.7 Flash | 1.0M | 9.0 | 45.0 | August 2026 |
| Gemini 3.6 Flash (batch) | 1.0M | 4.5 | 22.5 | July 2026 |
| Gemini 3.6 Flash | 1.0M | 9.0 | 45.0 | July 2026 |
| Gemini 3.5 Flash Lite (batch) | 1.0M | 1.8 | 15.0 | July 2026 |
| Gemini 3.5 Flash Lite | 1.0M | 3.6 | 30.0 | July 2026 |
Model comparisons
- GPT-6 Luna vs Gemini 3.8 Flash
- GPT-6 Astra vs Gemini 3.1 Pro Preview
- GPT-5.6 Sol vs Gemini 3.1 Pro Preview
- Claude Sonnet 5 vs Gemini 3.1 Pro Preview
Frequently asked questions
- What is Gemma 3 4B?
- Gemma 3 4B is an AI model by Google. Gemma 3 introduces multimodality, supporting vision-language input and text outputs.
- How much does Gemma 3 4B cost on Zeplik?
- Input tokens cost 0.60 credits per million and output tokens 1.2 credits per million (1 credit = $0.10; the raw provider rates are $0.050 and $0.10 per million). New accounts start with free credits.
- How long can a conversation with Gemma 3 4B be?
- Gemma 3 4B has a 131K-token context window (131,072 tokens), which covers the conversation plus any documents you attach.
- Does Gemma 3 4B support images and tools?
- Gemma 3 4B accepts image input and does not support tool calling.
Related models
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro.
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.
More you can do with Gemma 3 4B
- 468 AI skillsReady-to-run expert methods for writing, data, code and more, each running on Gemma 3 4B or any model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.