gemini-2-5-flash-lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency, with higher throughput and faster token generation.
Pricing: Input 20 credits / 1M tokens (≈ $0.10), Output 80 credits / 1M tokens (≈ $0.40).
Prices updated
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Gemini 2.5 Flash Lite API on ModelFold
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency, with higher throughput and faster token generation. Try Gemini 2.5 Flash Lite in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Gemini 2.5 Flash Lite API
Gemini 2.5 Flash Lite at a glance
Gemini 2.5 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 2.5 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 2.5 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 2.5 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 2.5 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.
Reasoning mode
Gemini 2.5 Flash Lite 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 Gemini 2.5 Flash Lite 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 2.5 Flash Lite 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-2-5-flash-lite" 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 2.5 Flash Lite
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.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
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 Gemini 2.5 Flash Lite?⌄
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency, with higher throughput and faster token generation.
Which inputs does Gemini 2.5 Flash Lite support?⌄
Gemini 2.5 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 2.5 Flash Lite?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Gemini 2.5 Flash Lite support function calling?⌄
Yes. Gemini 2.5 Flash Lite supports tools / function calling through the standard tools parameter of the chat completions API.
How is Gemini 2.5 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 2.5 Flash Lite through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gemini-2-5-flash-lite", using your ModelFold API key as the Bearer token.
| Input | 20 credits 1M tokens≈ $0.10 |
| 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":"gemini-2-5-flash-lite","messages":[{"role":"user","content":"Hello"}]}'