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Model details

Nano Banana Pro

Nano Banana Pro sits inside the Gemini 3 family of models, a lineage Google has positioned for multimodal reasoning that extends naturally to image generation and editing. According to Google's own prompting guide, Nano Banana models are built on Gemini 3 and apply deep reasoning to interpret a prompt before rendering an image, which is meant to reduce the trial-and-error loop that typically slows creative work. The model is surfaced through Google's developer and enterprise channels, with a dedicated image-generation page on the Gemini API documentation site and coverage in Google Cloud's Vertex AI and Gemini Enterprise context, signaling that it is intended for production-grade image workflows rather than novelty use.

In practice, Nano Banana Pro is aimed at users who need controllable image outputs that respect detailed instructions, including reasoning-driven prompt understanding, iterative editing, and integration with other Google creative models like Veo and Lyria for combined media pipelines. The qualitative strength highlighted in Google's guidance is precision: by leaning on Gemini 3's reasoning before pixels are produced, the model is positioned to follow complex compositional and stylistic cues more faithfully than generic generators. That makes it a practical fit for design, marketing, and product teams who want a single image model that can both originate and revise visuals in step with verbal direction, and who already operate inside the Google Cloud ecosystem.

Abacusgemini-3-pro-imagegemini-pro

Quick Info

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Provider
Abacus
Model key
gemini-3-pro-image
Release date
May 28, 2026
Last updated
May 28, 2026
Knowledge cutoff
2025-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.00
Output token cost
$12.00

Limits

Output tokens
32,768 tokens
Context window
65,536 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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