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Model detail

Nano Banana Pro (Gemini 3 Pro Image Preview)

Provided by Google
Pay-as-you-go

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and high-fidelity visual synthesis. The model generates context-rich graphics, from infographics and diagrams to cinematic composites, and can incorporate real-time information via Search grounding. It offers industry-leading text rendering in images (including long passages and multilingual layouts), consistent multi-image blending, and accurate identity preservation across up to five subjects. Nano Banana Pro adds fine-grained creative controls such as localized edits, lighting and focus adjustments, camera transformations, and support for 2K/4K outputs and flexible aspect ratios. It is designed for professional-grade design, product visualization, storyboarding, and complex multi-element compositions while remaining efficient for general image creation workflows.

Model specs

Model ID
gemini-3-pro-image-preview
Context length
–
Max output
–
I/O modalities
Released
2025-11

02

API endpoints

One MixRoute gateway, OpenAI-compatible

  • Gemini /v1beta/models/{model}:generateContent POST
  • OpenAI-compatible /v1/chat/completions POST

03

Pricing

Flat rate, unit: /1M Tokens

Input

$2.0000 /1M Tokens

Completion

$12.0000 /1M Tokens

Image input

$2.0000 /1M Tokens

Image completion

$20.0000 /1M Tokens

05

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Nano Banana Pro is Google’s most advanced image-generation and editing model

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro.

What should you check before using it?

Confirm output sizes and supported image formats

Model type: image. Verify supported features and quotas with the provider documentation. Knowledge cutoff: 2025-01. Released 2025-11-20.

Why use it through MixRoute?

Nano Banana Pro (Gemini 3 Pro Image Preview) takes text and images on one route

Text and image inputs share the same route and the same key. MixRoute serves Nano Banana Pro (Gemini 3 Pro Image Preview) on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gemini-3-pro-image-preview and re-run your integration tests.

07

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Available:

Structured output

Nano Banana Pro (Gemini 3 Pro Image Preview) can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.
Available:

Streaming

Nano Banana Pro (Gemini 3 Pro Image Preview) supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.
Available:

Prompt caching

Nano Banana Pro (Gemini 3 Pro Image Preview) supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.
Available:

Vision input

Nano Banana Pro (Gemini 3 Pro Image Preview) can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.
Available:

OpenAI SDK

Call Nano Banana Pro (Gemini 3 Pro Image Preview) through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

08

Token cost estimator

Live estimate from this page's pricing, not an actual bill

This model has no cache-read price; caching is not counted

09

FAQ

Yes. Nano Banana Pro (Gemini 3 Pro Image Preview) is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to gemini-3-pro-image-preview. Keep your current request and response handling.

One endpoint, a testable decision

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.