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Google: Gemini 2.5 Flash-Lite

google/gemini-2.5-flash-lite

Access Gemini 2.5 Flash-Lite from Google using Puter.js AI API.

Get Started
// 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>
# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="google/gemini-2.5-flash-lite",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "google/gemini-2.5-flash-lite",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

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

 

Output Speed 244

tokens / sec

Latency 0.36s

time to first token

Model Playground

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
12.7
Better than 27% of tracked models
Artificial Analysis
Coding Index
7.4
Better than 16% 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%
SciCode Scientific programming
17.7%
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
31.3%
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.

Is Gemini 2.5 Flash-Lite free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Gemini 2.5 Flash-Lite to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Gemini 2.5 Flash-Lite?
Pricing for Gemini 2.5 Flash-Lite is based on the number of input and output tokens used per request.
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.

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.

Get started with Puter.js

Add Gemini 2.5 Flash-Lite to your app without worrying about API keys or setup.

Read the Docs View Tutorials