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Favicon for google

Google: Nano Banana Pro (Gemini 3 Pro Image)

google/gemini-3-pro-image

BenchmarksCompare

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.

Modalities
In / Out Price
$2 / $120per 1M
Context
131K
Released
Jun 18, 2026
BenchmarksCompare
PlaygroundProvidersPricingPerformanceUptimeAppsActivityDocumentationFAQExplore

Playground

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

Documentation

Guides, cookbooks, blog posts, and tools for building with Google: Nano Banana Pro (Gemini 3 Pro Image) on OpenRouter.

  • Nano Banana API: Edit Images with Gemini in CodeBlog post

Explore more models

AI Models with Vision: Multimodal LLMs for Image UnderstandingCollectionImage Generation ModelsCollectionAI Model RankingsRankingImage Model RankingsRanking
End-to-end latency
$2.00$2.00$120.00$12.00$0.20$0.2034.98s
96.43%
$2.00$2.00$120.00$12.00$0.20$0.2024.65s
100.00%
End-to-end latency
24.65s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
97.82%

Availability over the last 3 days

Last 72 hours
Availability 97.82%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
97.19%
Without Routing
96.60%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

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AssetHub Pose Detection
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61.9Mtokens
2.
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prompt-versioning
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49.4Mtokens
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BrokerBot Vision Proxy
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47.8Mtokens
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DeepSeek Harness
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44.5Mtokens
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preflight
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39.4Mtokens

Frequently asked questions

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 Nano Banana Pro (Gemini 3 Pro Image) documentation on OpenRouter includes the Nano Banana API: Edit Images with Gemini in Code blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

Nano Banana Pro (Gemini 3 Pro Image) costs $2.00/M input tokens and $12.00/M output tokens, with separate rates for Cache Read at $0.20/M tokens, Cache Write at $0.375/M tokens, Image Input at $2.00/M tokens, Image Output at $120.00/M tokens, Input Audio at $2.00/M tokens, Input Audio Cache at $0.20/M tokens, and Web Search at $14.00/1K calls.

Nano Banana Pro (Gemini 3 Pro Image) has a 131,072 token context window. It supports up to 32,768 completion tokens.

Yes. Nano Banana Pro (Gemini 3 Pro Image) accepts tools and tool_choice for function calling on 1 of the 2 providers serving it, and requests that send tools are routed to those providers. It also supports structured outputs via a JSON schema in response_format.

Nano Banana Pro (Gemini 3 Pro Image) accepts images and text as input and returns images and text. Up to 14 reference images can be attached to one request for image editing.

Nano Banana Pro (Gemini 3 Pro Image) is served by 2 providers on OpenRouter: Google AI Studio and Google Vertex. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Nano Banana Pro (Gemini 3 Pro Image) was released on June 18, 2026.