---
title: Gemini 2.5 Flash Lite — Fast Reasoning LLM | ModelsLab
description: Access Google: Gemini 2.5 Flash Lite Preview 09-2025 via API for low-latency multimodal reasoning. Try 1M context, thinking mode, and tool calling now.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/google-gemini-25-flash-lite-preview-09-2025
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/google-gemini-25-flash-lite-preview-09-2025
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T09:43:46.848037Z
---

Available now on ModelsLab · Language Model

Google: Gemini 2.5 Flash Lite Preview 09-2025
Flash Reasoning, Lite Latency
---

[Try Google: Gemini 2.5 Flash Lite Preview 09-2025](/models/open_router/google-gemini-2.5-flash-lite-preview-09-2025) [API Documentation](https://docs.modelslab.com)

Run Multimodal Tasks Fast
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1M Context

### Process Text Video Audio

Handles text, image, video, audio, PDF inputs with 1,048,576 token limit.

Thinking Mode

### Enable Step-by-Step Reasoning

Activates multi-pass thinking for complex logic and code execution.

Tool Integration

### Function Calling Caching

Supports function calling, search grounding, structured outputs, batch API.

Examples

See what Google: Gemini 2.5 Flash Lite Preview 09-2025 can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/google-gemini-2.5-flash-lite-preview-09-2025).

Code Debugger

“Analyze this Python code for bugs: def factorial(n): if n == 0: return 1 else: return n \* factorial(n-1). Fix errors and optimize for large n using memoization.”

Document Summary

“Summarize key points from this PDF contract uploaded as file. Highlight obligations, timelines, and payment terms in bullet points.”

Image Analysis

“Describe this architectural blueprint image. Identify materials, dimensions, and suggest structural improvements for earthquake resistance.”

Video Transcript

“Transcribe audio from this product demo video. Extract technical specs, features, and generate a comparison table with competitors.”

For Developers

A few lines of code.
Reasoning LLM. One Call.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Google: Gemini 2.5 Flash Lite Preview 09-2025
---

[Read the docs ](https://docs.modelslab.com)

### What is Google: Gemini 2.5 Flash Lite Preview 09-2025?

Lightweight reasoning model from Google optimized for low latency. Supports 1M input tokens, multimodal inputs. Released September 25, 2025.

### Google: Gemini 2.5 Flash Lite Preview 09-2025 API pricing?

$0.10 per 1M input tokens, $0.40 per 1M output tokens. Cache read at $0.025 per 1M. Batch API supported.

### Does google gemini 2.5 flash lite preview 09 2025 support images?

Yes, processes text, image, video, audio, PDF. Outputs text only. Max output 65,536 tokens.

### Google: Gemini 2.5 Flash Lite Preview 09-2025 model capabilities?

Includes thinking mode, function calling, code execution, structured outputs. Caching and file search enabled.

### Google: Gemini 2.5 Flash Lite Preview 09-2025 alternative options?

Stable version gemini-2.5-flash-lite available. Preview shuts down; use via APIs like ModelsLab for continuity.

### Google: Gemini 2.5 Flash Lite Preview 09-2025 LLM context window?

1,048,576 input tokens standard. Knowledge cutoff January 2025. Thinking budget configurable.

Ready to create?
---

Start generating with Google: Gemini 2.5 Flash Lite Preview 09-2025 on ModelsLab.

[Try Google: Gemini 2.5 Flash Lite Preview 09-2025](/models/open_router/google-gemini-2.5-flash-lite-preview-09-2025) [API Documentation](https://docs.modelslab.com)

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-05-13*