Google

Google: Gemini 2.5 Flash

google/gemini-2.5-flash

Access Gemini 2.5 Flash 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"
}).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"
        }).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",
    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",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Gemini 2.5 Flash is Google's hybrid reasoning model balancing speed, cost, and intelligence with controllable thinking capabilities. It supports up to 1M tokens and excels at summarization, chat applications, and data extraction at scale.

Context Window 1M

tokens

Max Output 66K

tokens

Input Cost $0.3

per million tokens

Output Cost $2.5

per million tokens

Input text, image, audio, video, pdf

modalities

Tool Use Yes

 

Knowledge Cutoff Jan 2025

 

Release Date Mar 20, 2025

 

Output Speed 185

tokens / sec

Latency 0.49s

time to first token

Model Playground

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

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

How Gemini 2.5 Flash performs on standard evaluations.

Artificial Analysis
Intelligence Index
20.6
Better than 55% of tracked models
Artificial Analysis
Coding Index
17.8
Better than 50% of tracked models
Artificial Analysis
Math Index
60.3
Better than 56% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
68.3%
Humanity's Last Exam Cross-domain reasoning
5.1%
LiveCodeBench Recent coding problems
49.5%
SciCode Scientific programming
29.1%
MATH-500 Competition math
93.2%
AIME 2024 Advanced math exam
50.0%
AIME 2025 Advanced math exam
60.3%
IFBench Instruction following
39.0%
LCR Long-context reasoning
45.9%
Terminal-Bench Hard Agentic terminal tasks
12.1%
τ²-Bench Tool use / agents
14.9%

Scores sourced from Artificial Analysis.

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Frequently Asked Questions

How do I use Gemini 2.5 Flash?

You can access Gemini 2.5 Flash 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 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 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?
Pricing for Gemini 2.5 Flash is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.3
Output$2.5
Who created Gemini 2.5 Flash?

Gemini 2.5 Flash was created by Google and released on Mar 20, 2025.

What is the context window of Gemini 2.5 Flash?

Gemini 2.5 Flash 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?

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

What is the knowledge cutoff of Gemini 2.5 Flash?

Gemini 2.5 Flash 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 process?

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

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

Yes, Gemini 2.5 Flash 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 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 to your app without worrying about API keys or setup.

Read the Docs View Tutorials