---
title: "Gemini 2.5 Flash Lite | AI Models | Inference.net"
description: "Run Gemini 2.5 Flash Lite (Google) on Inference.net. 1.049M context. tool-calling, structured outputs, vision input, reasoning. Knowledge cutoff Jan 2025. Deploy with an OpenAI-compatible API and pay-per-token pricing."
url: "https://inference.net/models/gemini-2.5-flash-lite/"
---

Google Multimodal Model

# Gemini 2.5 Flash Lite

The fastest, cheapest model in the Gemini 2.5 line. Flash Lite is built for latency-sensitive, high-throughput work — classification, translation, routing — while keeping the full 1M-token multimodal context.

[Get Started](https://inference.net/signin/) [Documentation](https://docs.inference.net)

Model details

Developed by Google

Context window 1024K tokens

Max output 64K tokens

Model API pricing Per 1M tokens

Input $0.10

Cache read $0.01

Output $0.40

[See all pricing](https://inference.net/pricing/)

```
import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.inference.net/v1",
  apiKey: "<YOUR_API_KEY>",
});

const completion = await openai.chat.completions.create({
  model: "gemini-2.5-flash-lite",
  messages: [
    {
      role: "user",
      content: "What is the meaning of life?"
    }
  ],
  stream: true,
});

for await (const chunk of completion) {
  process.stdout.write(chunk.choices[0]?.delta.content as string);
}
```

Prompt caching

1. No special request field is needed. Keep the prompt prefix stable and byte-identical across calls.
2. As a practical target, use roughly 9,000 tokens in the stable prefix; this is not a guaranteed provider minimum.
3. Check usage.prompt_tokens_details.cached_tokens in the response to confirm cache reads.

## Related models

[See all models](https://inference.net/models/)

Model

[Kimi K3 1024K input context Vision Tools Reasoning $3.00 / $15.00 2 variants](https://inference.net/models/kimi-k3/)

[MiniMax M3.1 Flash 977K input context Vision Tools Reasoning $0.10 / $0.50](https://inference.net/models/minimax-m3.1-flash/)

[Nemotron 3 Super 256K input context Tools $0.102 / $0.48](https://inference.net/models/nemotron-3-super/)

[Schematron V2 Small 125K input context $0.05 / $0.23](https://inference.net/models/schematron-v2-small/)

[Schematron V2 Turbo 125K input context $0.03 / $0.15](https://inference.net/models/schematron-v2-turbo/)

## Start building with Gemini 2.5 Flash Lite today

Serverless, OpenAI-compatible, and billed per token. No commitments.

[Get Started](https://inference.net/signin/) [Read the docs](https://docs.inference.net)