Google: Gemini 2.5 Flash Preview
google/gemini-2.5-flash-preview
Try Gemini 2.5 Flash Preview 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-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>
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 As a preview endpoint it has since been superseded by the stable Gemini 2.5 Flash release.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 $0.23
per million tokens
Output Cost $1.88
per million tokens
Input text, image, audio, video
modalities
Tool Use Yes
Release Date Apr 17, 2025
Try Gemini 2.5 Flash Preview for free
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 4 Argon
Gemini 4 Argon is Google's flagship Gemini 4 model, announced by Google DeepMind on September 30, 2026. It is aimed at long, multi-step software engineering, legal and finance work, and defensive cybersecurity. Google reports 77.9% on DeepSWE v1.1 (Claude Opus 5.5 74.2%, GPT-6 Astra 74.1%) and 19.6% on Harvey's Legal Agent Benchmark. It trails Opus 5.5 on Terminal-bench 4.0 (57.4% vs 66.4%) and GPT-6 Astra on FrontierSWE v2 (55.0% vs 65.5%). Vals.ai places it first on the Vals Index at 68.9%. Introductory pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 later. It suits teams running coding agents or document-heavy professional workflows.
ImageGemini Nano Banana 2.1
Gemini Nano Banana 2.1 is Google's image generation and conversational editing model, released in October 2026 as an update to Nano Banana 2 (Gemini 3.1 Flash Image). It keeps Flash-tier speed and cost while improving visual quality, prompt adherence, text rendering, and multi-turn character consistency. It accepts text, image, video, and PDF input and returns images and text. Output is available at 1K, 2K, and 4K, with fixes for tiling artifacts on wide aspect ratios such as 1:8 and 8:1 at 2K and 4K. It can combine up to 14 reference images, and supports search grounding and configurable thinking levels. A 1K image costs $0.0336. Choose it for infographics, text-heavy graphics, and multi-step editing where the same characters must stay consistent across turns.
ChatGemini 3.8 Flash
Gemini 3.8 Flash is Google's workhorse Flash-tier model, released September 2, 2026, three weeks after Gemini 3.7 Flash. It's built for long-horizon software engineering, agentic workflows, and multi-step reasoning in professional domains. Google reports it outperforms 3.7 Flash and other frontier models on DeepSWE v1.1 for autonomous engineering tasks, on Vals Finance Agent V2, and on Harvey's Legal Agent Benchmark. It scores 54.9% on HLE-Verified, and completes more than three times as many tasks as 3.7 Flash in Google's long-running, document-heavy workflow evaluations. It accepts text, image, video, audio, and PDF input with a 1M token context window and 64K token output limit, supports function calling and iterative tool use, and has a March 2026 knowledge cutoff. Priced at $0.75 per million input tokens and $3.75 per million output tokens through 2026, it targets teams running coding agents or document-heavy enterprise workflows.
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.
Gemini 2.5 Flash Preview 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.
Gemini 2.5 Flash Preview 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.
| Price per 1M tokens | |
|---|---|
| Input | $0.23 |
| Output | $1.88 |
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.
Add Gemini 2.5 Flash Preview to your app for free
Developers can integrate Gemini 2.5 Flash Preview for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.