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Gemini 2.5 FlashSpeed meets reasoning power

Try Gemini 2.5 FlashAPI Documentation
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
API Documentation 
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

Gemini 2.5 Flash delivers 392.8 tokens per second with 0.29s time-to-first-token, making it one of the fastest production models available. Its lightweight architecture prioritizes speed without sacrificing reasoning capabilities.

Thinking mode enables dynamic, controllable reasoning that automatically adjusts processing time based on query complexity. You can explicitly tune the thinking budget to balance speed, accuracy, and cost for your specific use case.

Gemini 2.5 Flash supports a 1 million-token context window, allowing you to process entire books, PDFs, and long codebases without chunking.

Yes. Gemini 2.5 Flash achieves near Pro-level performance in reasoning and agentic workflows while significantly lowering latency and compute costs, making it ideal for high-volume, cost-sensitive applications.

Gemini 2.5 Flash processes text, images, video, audio, and PDFs with improved transcription accuracy and image understanding in the latest version.

Access it through Google AI Studio, the Gemini API, or Vertex AI's managed endpoints with full multimodal support.

Ready to create?

Start generating with Gemini 2.5 Flash on ModelsLab.

Try Gemini 2.5 FlashAPI Documentation