gemma-3-4b-it
Gemma 3 4B is the compact member of the Gemma 3 family. It accepts images and text, supports up to 128K tokens of context and understands over 140 languages, at a very low cost per request.
Pricing: Input 10 credits / 1M tokens (≈ $0.05), Output 20 credits / 1M tokens (≈ $0.10).
Prices updated
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Gemma 3 4B API on ModelFold
Gemma 3 4B is the compact member of the Gemma 3 family. It accepts images and text, supports up to 128K tokens of context and understands over 140 languages, at a very low cost per request. Try Gemma 3 4B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Gemma 3 4B API
Gemma 3 4B at a glance
Gemma 3 4B is a chat model from Google. It accepts text and images as input and returns text, with a context window of up to 131K tokens.
Use it without hosting anything
On ModelFold you call Gemma 3 4B with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Gemma 3 4B
Up to 131K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images
Besides text, Gemma 3 4B accepts images as input, so a single request can combine instructions with visual or other media.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Gemma 3 4B on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Gemma 3 4B responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "gemma-3-4b-it" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Gemma 3 4B
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Frequently Asked Questions
What is Gemma 3 4B?⌄
Gemma 3 4B is the compact member of the Gemma 3 family. It accepts images and text, supports up to 128K tokens of context and understands over 140 languages, at a very low cost per request.
Which inputs does Gemma 3 4B support?⌄
Gemma 3 4B accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Gemma 3 4B?⌄
Up to 131K tokens, shared between your input and the model’s output.
Does Gemma 3 4B support function calling?⌄
Function calling is not listed for Gemma 3 4B; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Gemma 3 4B billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Gemma 3 4B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gemma-3-4b-it", using your ModelFold API key as the Bearer token.
| Input | 10 credits 1M tokens≈ $0.05 |
| Output | 20 credits 1M tokens≈ $0.10 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gemma-3-4b-it","messages":[{"role":"user","content":"Hello"}]}'