gemini-3.1-flash-lite-preview — API, Pricing & Context Window | Vivgrid

gemini-3.1-flash-lite-preview is Google's lightweight, low-cost Gemini model, tuned for high-volume multimodal workloads. It keeps a ~1.05M-token context window and accepts text, image, video, audio, and PDF inputs.

On Vivgrid it is served as a globally centralized model through the same unified, OpenAI-compatible API used across the catalog.

Specifications

Pricing

Pricing in USD per 1M tokens.

What one request costs

The rates above applied to a 20K-token prompt with a 2K-token reply — a typical single agent turn, small enough that every request is billed at the base rate.

API surfaces

The Vivgrid Console catalogs gemini-3.1-flash-lite-preview on one surface, all behind the same API key. The endpoint shown is the one the Console previews for that surface.

Quick start

Get an API key from the Vivgrid Console, then call gemini-3.1-flash-lite-preview directly.

curl https://api.vivgrid.com/v1/chat/completions \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.1-flash-lite-preview",
    "messages": [
      { "role": "user", "content": "Say hello in English, Chinese and Spanish." }
    ],
    "stream": true
  }'

Ideal use cases

• Very high-volume multimodal classification and extraction
• Cost-sensitive media ingestion pipelines
• Lightweight assistants needing large context
• Bulk PDF, image, and audio triage

Related models

• gpt-6-astra — OpenAI's frontier gpt-6 coding model
• gemini-3.5-flash — faster, higher-quality flash
• gemini-4-argon — Google's flagship Gemini 4 model