gemini-3-pro-image
Google LLC (Vertex AI)/🇺🇸 US/chat
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.MoreLess
Which id to call
vertex/gemini-3-pro-imageThis exact deployment on Google LLC (Vertex AI), with no routing and no failover. Send it as the model field.
Input /1M
$2.00
$0.20 cached
Output /1M
$12.00
6.0x input
Context
1.0M
33K output
Added
Jun 2026
chat
Capabilities 7/8
Provider rates
What gemini-3-pro-image costs
Provider prices per 1M tokens, updated September 4, 2026.moreless
These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.
Input /1M
$2.00
Output /1M
$12.00
Cache write /1M
$4.50
Cache read /1M
$0.20
What a workload costs
- 100K input + 10K output
- $0.32
- 1M input + 100K output
- $3.20
- 10M input + 1M output
- $32.00
At the rates above, before caching. A cache read costs $0.20 per 1M, so repeated context lands under these figures.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
vertex/gemini-3-pro-imageThis exact deployment on Google LLC (Vertex AI), with no routing and no failover. Send it as the model field.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="vertex/gemini-3-pro-image", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Reference
Specs and data terms
What the catalog reports for this deployment, and what the provider does with the traffic.
Public leaderboards
Benchmark scores
Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.
No benchmarks are published for this exact variant yet.
Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the Google LLC (Vertex AI) models overview.
Same provider
More from Google LLC (Vertex AI)
Newest first, on the same provider and the same key.
Reference
gemini-3-pro-image questions
How much does gemini-3-pro-image cost?
gemini-3-pro-image is priced at $2.00 per million input tokens and $12.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
What is the context window of gemini-3-pro-image?
gemini-3-pro-image has a context window of 1.0M tokens, with a maximum output of 33K tokens per response. That's roughly 1,398 words of input you can fit in a single prompt.
What can gemini-3-pro-image do?
gemini-3-pro-image supports vision input, tool calling, extended reasoning, prompt caching, web search, structured outputs (JSON schema), image generation. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gemini-3-pro-image with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "vertex/gemini-3-pro-image". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run gemini-3-pro-image through Requesty?
Yes. gemini-3-pro-image runs through Requesty's OpenAI-compatible API, served from Google LLC (Vertex AI). You do not host the model yourself: point base_url at Requesty, set the model to "vertex/gemini-3-pro-image", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.
Call gemini-3-pro-image through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.