Google: Gemini 2.5 Flash Preview
google/gemini-2.5-flash-preview
Access Gemini 2.5 Flash Preview 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-preview"
}).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-preview"
}).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-preview",
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-preview",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Gemini 2.5 Flash Preview is the April 2025 preview release (04-17) of Google's first fully hybrid reasoning model. Developers can turn thinking on or off per request and set a thinking budget in tokens to trade off quality, cost, and latency. With the budget at zero it runs at cost and latency comparable to Gemini 2.0 Flash while scoring higher on benchmarks.
In Google's reported results it scored 12.1% on Humanity's Last Exam, ahead of Claude 3.7 Sonnet (8.9%) and DeepSeek R1 (8.6%) but behind o4-mini (14.3%), plus 78.3% on GPQA Diamond and 78.0% on AIME 2025.
It accepts text, image, audio, and video input with a 1M token context window. It suits high-volume work like chat, summarization, and data extraction where reasoning depth needs to be controlled. As a preview endpoint it has since been superseded by the stable Gemini 2.5 Flash release.
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
modalities
Tool Use Yes
Release Date Apr 17, 2025
Model Playground
Try Gemini 2.5 Flash Preview instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Google
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is Google's fastest and most cost-efficient model in the Gemini 3.5 series, built for high-throughput, low-latency workloads. It scores 54% on Terminal-Bench 2.1 and 72.2% on GDM-MRCR v2, up from 31% and 60.1% for Gemini 3.1 Flash-Lite. It also outperforms the larger Gemini 3 Flash on SWE-Bench Pro (54.2% vs. 49.6%) and OSWorld-Verified (74.0% vs. 65.1%), while generating output at roughly 350 tokens per second. It supports text, image, video, audio, and PDF input with a 1M token context window, configurable thinking levels, and function calling, including computer use as a built-in tool. It's suited for agentic search, document processing, and other high-volume tasks where throughput and cost matter more than maximum reasoning depth.
ChatGemini 3.6 Flash
Gemini 3.6 Flash is Google's workhorse Flash-tier model, released as the successor to Gemini 3.5 Flash. It's built for running AI agents in production, with improvements in coding precision, computer use, and multimodal understanding. In Google's own benchmarks, it scores 83.0% on OSWorld-Verified (up from 78.4% for 3.5 Flash), 49% on DeepSWE (up from 37%), 63.9% on MLE-Bench (up from 49.7%), and 58.7% on SWE-Bench Pro. It also produces 17% fewer output tokens than 3.5 Flash on comparable tasks. It accepts text, image, video, audio, and PDF input with a 1M token context window, supports function calling and a built-in computer-use tool, and has a March 2026 knowledge cutoff. At $1.50 per million input tokens and $7.50 per million output tokens, it's cheaper on output than 3.5 Flash's $9 rate.
ImageGemini 3.1 Flash Lite Image
Gemini 3.1 Flash Lite Image is Google DeepMind's fastest and lowest-cost image generation and editing model in the Gemini 3.1 family, also known as Nano Banana 2 Lite. It generates a 1K-resolution image in about 4 seconds, roughly 2.7x faster than Gemini 3.1 Flash Image, at $0.0336 per image. It keeps the character consistency, precise natural-language editing, and real-world knowledge of the Nano Banana family while trading some peak quality for speed. It supports text-to-image generation, image editing, and multi-image composition through the same API used by other Gemini image models, with a discrete set of 14 aspect ratios at 1K resolution. It's built for high-volume, latency-sensitive use cases such as rapid prototyping, interactive applications, and batch image generation, where cost and turnaround time matter more than maximum fidelity.
Frequently Asked Questions
You can access Gemini 2.5 Flash Preview 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Gemini 2.5 Flash Preview to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.3 |
| Output | $2.5 |
Gemini 2.5 Flash Preview was created by Google and released on Apr 17, 2025.
Gemini 2.5 Flash Preview supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.
Gemini 2.5 Flash Preview can generate up to 66K tokens in a single response.
Gemini 2.5 Flash Preview accepts the following input types: text, image, audio, video. It produces: text.
Yes, Gemini 2.5 Flash Preview supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Gemini 2.5 Flash Preview 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 Preview to your app without worrying about API keys or setup.
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