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Available now on ModelsLab · Language Model

Gemini 2.5 FlashSpeed meets reasoning power

Gemini 2.5 Flash

Build faster. Think smarter.

Lightning-Fast Generation

392.8 tokens per second

Stream responses instantly with 0.29s time-to-first-token for real-time applications.

Massive Context Window

1 million token capacity

Process entire books, codebases, and PDFs without chunking or truncation.

Controllable Reasoning

Dynamic thinking budget

Automatically adjust processing depth based on query complexity for optimal speed-accuracy balance.

Examples

See what Gemini 2.5 Flash can create

Copy any prompt below and try it yourself in the playground.

Customer Support Routing

Classify this customer inquiry into: billing, technical support, or account management. Respond with only the category and confidence score.

Code Review Summary

Analyze this Python function and identify potential performance bottlenecks. Provide a concise summary with specific line numbers.

Document Classification

Extract the document type, date, and key parties from this contract. Format as structured JSON.

Real-time Transcription

Transcribe this audio and identify speaker changes. Output timestamps and speaker labels.

For Developers

A few lines of code.
Fast inference. Three lines.

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

FAQ

Common questions about Gemini 2.5 Flash

Read the docs

Ready to create?

Start generating with Gemini 2.5 Flash on ModelsLab.