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gemini-3-5-flash-lite

⚡ Run with API

Gemini 3.5 Flash Lite is a high-efficiency Google model with upgraded agentic capabilities, suited for subagents that execute focused tasks within complex multi-agent workflows.

Pricing: Input 60 credits / 1M tokens (≈ $0.30), Output 500 credits / 1M tokens (≈ $2.50).

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README
Complete guide to using Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite API on ModelFold

Gemini 3.5 Flash Lite is a high-efficiency Google model with upgraded agentic capabilities, suited for subagents that execute focused tasks within complex multi-agent workflows. Try Gemini 3.5 Flash Lite in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the Gemini 3.5 Flash Lite API

Gemini 3.5 Flash Lite at a glance

Gemini 3.5 Flash Lite 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 3.5 Flash Lite 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 3.5 Flash Lite

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 3.5 Flash Lite 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 3.5 Flash Lite 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 3.5 Flash Lite on ModelFold

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how Gemini 3.5 Flash Lite responds before writing any code.

  2. 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. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "gemini-3-5-flash-lite" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

  4. ✓

    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 3.5 Flash Lite

High-volume pipelines

Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.

Autonomous agents

Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.

Tool-calling backends

Route requests, call functions and chain API calls as the worker model inside larger agent systems.

Low-latency experiences

Power chat interfaces, autocomplete and interactive tools where users expect fast responses.

Frequently Asked Questions

What is Gemini 3.5 Flash Lite?⌄

Gemini 3.5 Flash Lite is a high-efficiency Google model with upgraded agentic capabilities, suited for subagents that execute focused tasks within complex multi-agent workflows.

Which inputs does Gemini 3.5 Flash Lite support?⌄

Gemini 3.5 Flash Lite 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 3.5 Flash Lite?⌄

Up to 1M tokens, shared between your input and the model’s output.

Does Gemini 3.5 Flash Lite support function calling?⌄

Yes. Gemini 3.5 Flash Lite supports tools / function calling through the standard tools parameter of the chat completions API.

How is Gemini 3.5 Flash Lite 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 3.5 Flash Lite through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gemini-3-5-flash-lite", using your ModelFold API key as the Bearer token.

Rate card
Input60 credits 1M tokens≈ $0.30
Output500 credits 1M tokens≈ $2.50

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 →
Quick start
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gemini-3-5-flash-lite","messages":[{"role":"user","content":"Hello"}]}'