gemini-3-pro-imageGoogle
- endpoints
- 3
- regions
- 1
- api
- chat
- released
- June 2026
capabilities 7/8
The same weights cost 2.0x more on google llc (gemini api) than on google llc (vertex ai). That is what the endpoints table is for.
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  Google LLC (Vertex AI) | Global | 1.0M | $1.00 | $6.00 | $0.10 | zdr |
| 2 |  Google LLC (Gemini API) | Global | 1.0M | $2.00 | $12.00 | $0.20 | zdr |
| 3 | Google LLC (Vertex AI) | Global | 1.0M | $2.00 | $12.00 | $0.20 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
no published benchmark scores for this model
gemini-3-pro-imagerequesty routes this id across every provider serving gemini-3-pro-image, picking on price and health and failing over automatically. the id stays valid when a provider changes underneath it
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="gemini-3-pro-image", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
Gemini 3 Pro Image, or Gemini 3 Pro (with Nano Banana), is designed to tackle the most challenging image generation by incorporating state-of-the-art reasoning capabilities. It's the best model for complex and multi-turn image generation and editing, having improved accuracy and enhanced image quality.
questions 6
Which providers serve gemini-3-pro-image?
How much does gemini-3-pro-image cost?
Is gemini-3-pro-image open weights?
What is the context window of gemini-3-pro-image?
How do I use gemini-3-pro-image with the OpenAI SDK?
Should I call gemini-3-pro-image by its managed id or a provider id?
more from google 6
| model | context | from /M | providers |
|---|---|---|---|
| gemini-3.8-flash | 1.0M | $0.75 | 1 |
| gemini-3.7-flash | 1.0M | $0.75 | 1 |
| gemini-3.6-flash | 1.0M | $0.38 | 2 |
| gemini-3.5-flash-lite | 1.0M | $0.15 | 2 |
| gemini-3.1-flash-image | 131K | $0.25 | 2 |
| gemini-3.5-flash | 1.0M | $0.75 | 2 |
route gemini-3-pro-image through one endpoint
One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology