Seedance 2.0 is here - create consistent, multimodal AI videos faster with images, videos, and audio in one prompt.

Try Now
Skip to main content
Available now on ModelsLab · Language Model

Google: Gemini 2.5 Flash LiteFastest Gemini Reasoning

Try Google: Gemini 2.5 Flash LiteAPI Documentation

Optimize Speed and Cost

Low Latency

1.5x Faster Inference

Google: Gemini 2.5 Flash Lite delivers 1.5x speed over 2.0 Flash for high-volume tasks like classification.

Cost Efficient

50% Token Reduction

Google gemini 2.5 flash lite api cuts output tokens by 50% versus prior models, lowering costs.

Multimodal Input

1M Token Context

Google: Gemini 2.5 Flash Lite model handles 1M tokens with image, audio, and tool support.

Examples

See what Google: Gemini 2.5 Flash Lite can create

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

Code Review

“Review this Python function for bugs and optimize for speed: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2). Suggest memoization improvements.”

Data Summary

“Summarize key trends from this sales dataset in JSON: [{"month": "Jan", "sales": 1200}, {"month": "Feb", "sales": 1500}, {"month": "Mar", "sales": 1800}]. Highlight growth rate.”

Math Proof

“Prove that the sum of angles in a triangle is 180 degrees using Euclidean geometry. Provide step-by-step reasoning.”

Text Translation

“Translate this technical spec to Spanish while preserving terminology: 'The API supports 1M token context with multimodal inputs including images up to 30MB'.”

For Developers

A few lines of code.
Reasoning. One API 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 
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 Google: Gemini 2.5 Flash Lite

Read the docs

Google: Gemini 2.5 Flash Lite is the fastest multimodal model in the 2.5 family, optimized for low-latency tasks. It supports 1M token context, tools, and reduced verbosity. Use gemini-2.5-flash-lite-preview-09-2025 for testing.

It achieves 1.5x speed over 2.0 Flash with 50% fewer output tokens. Better instruction following and multimodal capabilities improve efficiency. Ideal for high-throughput apps.

Supports thinking budgets, Google Search grounding, code execution, and structured outputs. Handles up to 3000 images per prompt with 500MB input limit. Excels in translation and classification.

Yes, with 50% output token reduction and lower latency for high-volume use. Pricing around $0.10/M input, $0.40/M output tokens via providers. Suited for budget-sensitive workloads.

1,048,576 tokens standard. Supports large inputs for complex reasoning. Multimodal files up to 30MB from Cloud Storage.

Available via Vertex AI, Google AI Studio, or API providers. Use model ID gemini-2.5-flash-lite. Stable versions alongside Flash and Pro.

Ready to create?

Start generating with Google: Gemini 2.5 Flash Lite on ModelsLab.

Try Google: Gemini 2.5 Flash LiteAPI Documentation