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Google: Gemini 2.5 Flash-Lite

google/gemini-2.5-flash-lite

Try Gemini 2.5 Flash-Lite for free in your browser, and add it to your app for free with Puter.js AI API.

Try it free Add to your app
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "google/gemini-2.5-flash-lite"
}).then(response => {
    document.body.innerHTML = response.message.content;
});
<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "google/gemini-2.5-flash-lite"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

Gemini 2.5 Flash-Lite is Google's cost-optimized version of 2.5 Flash, designed for high-volume tasks like classification, translation, and intelligent routing. It delivers efficient performance for cost-sensitive, high-scale operations.

Context Window 1M

tokens

Max Output 66K

tokens

Input Cost $0.1

per million tokens

Output Cost $0.4

per million tokens

Input text, image, audio, video, pdf

modalities

Tool Use Yes

 

Knowledge Cutoff Jan 2025

 

Release Date Jun 17, 2025

 

Try Gemini 2.5 Flash-Lite for free

Try Gemini 2.5 Flash-Lite instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat google/gemini-2.5-flash-lite
Google
Chat with Gemini 2.5 Flash-Lite
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Benchmarks

How Gemini 2.5 Flash-Lite performs on standard evaluations.

Artificial Analysis
Intelligence Index
6.7
Better than 19% of tracked models
Artificial Analysis
Math Index
35.3
Better than 35% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
47.4%
Humanity's Last Exam Cross-domain reasoning
3.7%
LiveCodeBench Recent coding problems
40.0%
MATH-500 Competition math
92.6%
AIME 2024 Advanced math exam
50.0%
AIME 2025 Advanced math exam
35.3%
IFBench Instruction following
31.5%
LCR Long-context reasoning
32.0%
Terminal-Bench Hard Agentic terminal tasks
2.3%
τ²-Bench Tool use / agents
19.0%

Scores sourced from Artificial Analysis.

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Frequently Asked Questions

How do I use Gemini 2.5 Flash-Lite?

You can access Gemini 2.5 Flash-Lite by Google through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Can I try Gemini 2.5 Flash-Lite for free?

Gemini 2.5 Flash-Lite is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.

Is the Gemini 2.5 Flash-Lite API free for developers?

Gemini 2.5 Flash-Lite is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite costs $0.1 per 1M input tokens and $0.4 per 1M output tokens.
Price per 1M tokens
Input$0.1
Output$0.4
Who created Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite was created by Google and released on Jun 17, 2025.

What is the context window of Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.

What is the max output length of Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite can generate up to 66K tokens in a single response.

What is the knowledge cutoff of Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite has a knowledge cutoff date of Jan 2025. This means the model was trained on data available up to that date.

What types of input can Gemini 2.5 Flash-Lite process?

Gemini 2.5 Flash-Lite accepts the following input types: text, image, audio, video, pdf. It produces: text.

Does Gemini 2.5 Flash-Lite support tool use (function calling)?

Yes, Gemini 2.5 Flash-Lite supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does Gemini 2.5 Flash-Lite perform on benchmarks?

Gemini 2.5 Flash-Lite scores 6.7 on the Artificial Analysis Intelligence Index, outperforming 19% of tracked models. On math, it scores 35.3 (outperforms 35% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Gemini 2.5 Flash-Lite API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Add Gemini 2.5 Flash-Lite to your app for free

Developers can integrate Gemini 2.5 Flash-Lite for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works