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Google: Gemini 2.5 Flash Lite Preview 09-2025

This model is no longer available.

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Gemini 2.5 Flash-Lite Preview (September 2025) is a preview version of Google's cost-optimized Flash-Lite model. It's designed for high-volume classification, translation, and routing tasks with improved cost efficiency.

Context Window 1M

tokens

Max Output 66K

tokens

Input Cost $0.08

per million tokens

Output Cost $0.3

per million tokens

Release Date Sep 25, 2025

 

Code Example

Add AI to your app with the Puter.js AI API, no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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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.

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Gemini 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

How do I use Gemini 2.5 Flash Lite Preview 09-2025?

Gemini 2.5 Flash Lite Preview 09-2025 is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Gemini 2.5 Flash Lite Preview 09-2025?
Gemini 2.5 Flash Lite Preview 09-2025 costs $0.08 per 1M input tokens and $0.3 per 1M output tokens.
Price per 1M tokens
Input$0.08
Output$0.3
Who created Gemini 2.5 Flash Lite Preview 09-2025?

Gemini 2.5 Flash Lite Preview 09-2025 was created by Google and released on Sep 25, 2025.

What is the context window of Gemini 2.5 Flash Lite Preview 09-2025?

Gemini 2.5 Flash Lite Preview 09-2025 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 Preview 09-2025?

Gemini 2.5 Flash Lite Preview 09-2025 can generate up to 66K tokens in a single response.

How does Gemini 2.5 Flash Lite Preview 09-2025 perform on benchmarks?

Gemini 2.5 Flash Lite Preview 09-2025 scores 9.3 on the Artificial Analysis Intelligence Index, outperforming 38% of tracked models. On math, it scores 46.7 (outperforms 45% of models).

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

Yes — the Gemini 2.5 Flash Lite Preview 09-2025 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.

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