Google: Gemini 2.5 Flash Lite Preview 09-2025
Flash Reasoning, Lite Latency
Run Multimodal Tasks Fast
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.
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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Google: Gemini 2.5 Flash Lite Preview 09-2025 on ModelsLab.