gemma-4-31b-it
Gemma 4 31B Instruct is Google DeepMind’s 30.7B dense multimodal model. It takes text and image input, offers a 256K-token context window and a configurable thinking mode, and supports native function calling.
Pricing: Input 40 credits / 1M tokens (≈ $0.20), Output 80 credits / 1M tokens (≈ $0.40).
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Gemma 4 31B API on ModelFold
Gemma 4 31B Instruct is Google DeepMind’s 30.7B dense multimodal model. It takes text and image input, offers a 256K-token context window and a configurable thinking mode, and supports native function calling. Try Gemma 4 31B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Gemma 4 31B API
Gemma 4 31B at a glance
Gemma 4 31B is a chat model from Google. It accepts text, images and video as input and returns text, with a context window of up to 262K tokens.
Use it without hosting anything
On ModelFold you call Gemma 4 31B 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 4 31B
Up to 262K 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 and video
Besides text, Gemma 4 31B accepts images and video as input, so a single request can combine instructions with visual or other media.
Function calling
Gemma 4 31B supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Reasoning mode
Gemma 4 31B can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Gemma 4 31B on ModelFold
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Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Gemma 4 31B responds before writing any code.
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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.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "gemma-4-31b-it" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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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 4 31B
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Frequently Asked Questions
What is Gemma 4 31B?⌄
Gemma 4 31B Instruct is Google DeepMind’s 30.7B dense multimodal model. It takes text and image input, offers a 256K-token context window and a configurable thinking mode, and supports native function calling.
Which inputs does Gemma 4 31B support?⌄
Gemma 4 31B accepts text, images and video 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 4 31B?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Gemma 4 31B support function calling?⌄
Yes. Gemma 4 31B supports tools / function calling through the standard tools parameter of the chat completions API.
How is Gemma 4 31B 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 4 31B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gemma-4-31b-it", using your ModelFold API key as the Bearer token.
| Input | 40 credits 1M tokens≈ $0.20 |
| Output | 80 credits 1M tokens≈ $0.40 |
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-4-31b-it","messages":[{"role":"user","content":"Hello"}]}'