gemini-3-1-flash-lite-preview
Gemini 3.1 Flash Lite Preview is Google’s high-efficiency model for high-volume use cases. According to Google it outperforms Gemini 2.5 Flash Lite on overall quality and comes close to Gemini 2.5 Flash.
Pricing: Input 50 credits / 1M tokens (≈ $0.25), Output 300 credits / 1M tokens (≈ $1.50).
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Gemini 3.1 Flash Lite Preview API on ModelFold
Gemini 3.1 Flash Lite Preview is Google’s high-efficiency model for high-volume use cases. According to Google it outperforms Gemini 2.5 Flash Lite on overall quality and comes close to Gemini 2.5 Flash. Try Gemini 3.1 Flash Lite Preview in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Gemini 3.1 Flash Lite Preview API
Gemini 3.1 Flash Lite Preview at a glance
Gemini 3.1 Flash Lite Preview is a chat model from Google. It accepts text, images, video, audio and files (such as PDF) as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call Gemini 3.1 Flash Lite Preview 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 Gemini 3.1 Flash Lite Preview
Up to 1M 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, video, audio and files (such as PDF)
Besides text, Gemini 3.1 Flash Lite Preview accepts images, video, audio and files (such as PDF) as input, so a single request can combine instructions with visual or other media.
Function calling
Gemini 3.1 Flash Lite Preview 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.
Adjustable reasoning effort
Choose a reasoning effort level (low, medium or high) per request to balance depth of thinking against speed and token usage.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Gemini 3.1 Flash Lite Preview 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 Gemini 3.1 Flash Lite Preview 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": "gemini-3-1-flash-lite-preview" 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 Gemini 3.1 Flash Lite Preview
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.
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Frequently Asked Questions
What is Gemini 3.1 Flash Lite Preview?⌄
Gemini 3.1 Flash Lite Preview is Google’s high-efficiency model for high-volume use cases. According to Google it outperforms Gemini 2.5 Flash Lite on overall quality and comes close to Gemini 2.5 Flash.
Which inputs does Gemini 3.1 Flash Lite Preview support?⌄
Gemini 3.1 Flash Lite Preview accepts text, images, video, audio and files (such as PDF) 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 Gemini 3.1 Flash Lite Preview?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Gemini 3.1 Flash Lite Preview support function calling?⌄
Yes. Gemini 3.1 Flash Lite Preview supports tools / function calling through the standard tools parameter of the chat completions API.
How is Gemini 3.1 Flash Lite Preview 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 Gemini 3.1 Flash Lite Preview through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gemini-3-1-flash-lite-preview", using your ModelFold API key as the Bearer token.
| Input | 50 credits 1M tokens≈ $0.25 |
| Output | 300 credits 1M tokens≈ $1.50 |
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":"gemini-3-1-flash-lite-preview","messages":[{"role":"user","content":"Hello"}]}'