gemini-2.5-pro β API, Pricing & Context Window | Vivgrid
gemini-2.5-pro on Vivgrid: Google's proven multimodal model with a 1M-token context window across text, image, video, audio and PDF.
gemini-2.5-pro is Google's widely used pro-tier multimodal model, valued for strong reasoning and a 1M-token context window spanning text, image, video, audio, and PDF. It remains a reliable choice for established multimodal applications.
Vivgrid serves gemini-2.5-pro as a globally centralized model through its unified, OpenAI-compatible API, easing migration to or from newer Gemini releases.
Specifications
| Provider | |
| Model ID | gemini-2.5-pro |
| Best for | General-purpose |
| Context window | 1,048,576 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 |
|---|---|---|
| $1.25 | $0.31 | $10.00 |
Quick start
Call gemini-2.5-pro 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-2.5-pro",
"messages": [
{ "role": "user", "content": "Say hello in English, Chinese and Spanish." }
],
"stream": true
}'Ideal use cases
- Established multimodal reasoning applications
- Long-context analysis over mixed media
- Document, audio, and video understanding
- A stable baseline before adopting Gemini 3
Related models
- gemini-3-pro-preview β the next-gen pro model
- gemini-2.5-flash β faster, cheaper sibling
- gemini-3.1-pro-preview β latest pro release
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.
gemini-2.5-flash
gemini-2.5-flash on Vivgrid: Google's fast, affordable multimodal model with a 1M-token context window across text, image, video, audio and PDF.