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

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Available now on ModelsLab · Language Model

Google: Gemini 2.0 Flash LiteSpeed. Cost. Scale.

Build Faster. Pay Less.

Lightning-Fast

Sub-Millisecond Latency

Optimized for production workloads with minimal inference overhead and high throughput.

Multimodal Input

Text, Image, Audio, Video

Process diverse content types in a single request with native multimodal understanding.

Cost-Optimized

30% Cheaper Than Standard

Lowest-cost Gemini variant at $0.075/M input and $0.30/M output tokens.

Examples

See what Google: Gemini 2.0 Flash Lite can create

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

Customer Support

Analyze this customer support ticket and generate a professional response addressing their billing inquiry. Maintain a helpful tone while referencing our standard refund policy.

Content Summarization

Summarize this 50-page technical documentation into a concise executive summary with key takeaways and action items for stakeholders.

Code Documentation

Generate clear API documentation with examples for this Python function, including parameter descriptions, return types, and common use cases.

Data Extraction

Extract structured data from this invoice image: company name, invoice number, total amount, and due date. Return as JSON.

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 Google: Gemini 2.0 Flash Lite

Read the docs

Ready to create?

Start generating with Google: Gemini 2.0 Flash Lite on ModelsLab.