gemini-3-pro-preview β API, Pricing & Context Window | Vivgrid
gemini-3-pro-preview on Vivgrid: Google's high-end multimodal model with a 1M-token context window across text, image, video, audio and PDF.
gemini-3-pro-preview is Google's pro-tier Gemini 3 model, built for demanding multimodal reasoning. It accepts text, image, video, audio, and PDF within a 1M-token context window.
Vivgrid serves it as a globally centralized model through the same OpenAI-compatible endpoint and unified key as the rest of the catalog, so you can compare it against newer Gemini releases without code changes.
Specifications
| Provider | |
| Model ID | gemini-3-pro-preview |
| Best for | General-purpose |
| Context window | 1,000,000 tokens |
| Max output | 64,000 tokens |
| Modalities | Text, Image, Video, Audio, Pdf |
| Tool / function calling | Yes |
| Knowledge cutoff | 2025-01 |
| Acceleration | π Global (Centralized) |
Pricing
Pricing in USD per 1M tokens, matching the provider's rates.
| Input | Cached input | Output |
|---|---|---|
| $2.00 | $0.40 | $12.00 |
Quick start
Call gemini-3-pro-preview through Vivgrid's unified, OpenAI-compatible endpoint. Get an API key from the Vivgrid Console.
curl https://api.vivgrid.com/v1/chat/completions \
-H "Authorization: Bearer $VIVGRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3-pro-preview",
"messages": [
{ "role": "user", "content": "Say hello in English, Chinese and Spanish." }
],
"stream": true
}'Ideal use cases
- Multimodal reasoning over mixed media
- Long-context analysis up to 1M tokens
- Agents that combine documents, images, and audio/video
- A strong Gemini 3 baseline for evaluation
Related models
- gemini-3.1-pro-preview β the newer pro model
- gemini-3-flash-preview β the faster Gemini 3
- gemini-2.5-pro β prior-generation pro model
gemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-preview on Vivgrid: Google's lightweight multimodal model with a ~1M-token context window at a very low price.
gemini-3-flash-preview
gemini-3-flash-preview on Vivgrid: Google's fast multimodal Gemini 3 model with a 1M-token context window and very low cached pricing.