API boundary
Gemini app subscriptions, Gemini API, and Vertex AI are separate billing routes. Do not treat Google AI subscription prices as Nano Banana API spend; Gemini API and Vertex AI usage is metered separately from Gemini app subscriptions.
Pricing
Nano Banana Pricing: Gemini App Access and API Costs
Nano Banana pricing depends on the route: Gemini app subscriptions, Gemini API image pricing, or Vertex AI deployment.
AI Image Generators
Pricing checked May 31, 2026
Buyer guide
Where to start before you compare routes
Use the route summary and access paths first, then treat the API pricing section as the direct fact layer for metered developer spend.
Tracks
Which route fits whom
Gemini app route
Use the Gemini app route when Nano Banana image generation is interactive and should follow Google AI subscription limits.
Best for: Creators and operators using Nano Banana manually inside the Gemini experience.
Avoid if: You need API automation, cloud deployment controls, or predictable metered developer spend.
Gemini 3.1 Flash Image Standard
Gemini API standardUsage-based
Use the standard API route for live product integrations, automation, and workflows that need direct developer control.
Best for: Apps, tools, and backend workflows where latency and API control matter.
Avoid if: The work is offline batch generation where lower batch pricing may be acceptable.
Gemini 3.1 Flash Image Batch
Gemini API batchUsage-based
Use the batch route when jobs can run asynchronously and the priority is lower unit cost rather than immediate response time.
Best for: Bulk image production, scheduled generation, and lower-urgency processing jobs.
Avoid if: You need interactive or near-real-time image generation inside a user-facing product.
Access paths
Subscription, API, and workspace routes
Use this section to separate what is bundled with Nano Banana from routes that need a different pricing page, meter, or sales conversation.
Bundled appShared subscription quotaRecommended route
Gemini app image generation
Use Nano Banana through Gemini image-generation and editing workflows when the work is app-based.
Best for: Creators and teams who want model access through the Gemini product experience.
Boundary: App access inherits Gemini plan limits and availability rather than exposing raw API unit pricing.
Open Gemini pricing contextDirect APISeparate API meter
Gemini API / AI Studio
Use Nano Banana through Gemini API or Google AI Studio when building programmatic image workflows.
Best for: Developers, automation workflows, and production image generation.
Boundary: API usage is metered separately and can require a paid API key for the newest model route.
Open Nano Banana pricing contextEnterprise salesEnterprise only
Vertex AI enterprise deployment
Enterprise deployments can route through Vertex AI when governance, cloud billing, and enterprise controls matter.
Best for: Organizations standardizing on Google Cloud procurement and controls.
Boundary: Vertex AI pricing and commitments should be checked separately from Gemini app and AI Studio access.
Open Gemini pricing contextDirect API pricing
Direct API pricing
Use these metered API facts for developer budgets. App subscriptions and bundled routes stay in the route cards above.
Plans listed
2
API baseline
Gemini 3.1 Flash Image Standard
API track
API plans
2 plans
Gemini 3.1 Flash Image Standard
APIUsage-based API
Usage: Gemini 3.1 Flash Image Preview Standard: input $0.50 per 1M text/image tokens; output $3 per 1M text/thinking tokens and $60 per 1M image tokens; equivalent output approx $0.045 per 0.5K, $0.067 per 1K, $0.101 per 2K, $0.151 per 4K image
- Gemini 3.1 Flash Image Preview
- Standard image output rates for 0.5K, 1K, 2K, and 4K images
- Separate Gemini API meter outside Gemini app subscriptions
Gemini 3.1 Flash Image Batch
APIUsage-based API
Usage: Gemini 3.1 Flash Image Preview Batch: input $0.25 per 1M text/image tokens; output $1.50 per 1M text/thinking tokens and $30 per 1M image tokens; equivalent output approx $0.022 per 0.5K, $0.034 per 1K, $0.050 per 2K, $0.076 per 4K image
- Batch API pricing for queued or bulk rendering
- Lower equivalent output prices for asynchronous image jobs
- Separate Gemini API meter outside Gemini app subscriptions
Free plan
Available
Trial
No trial listed
Billing unit
Flat monthly
Pricing checked
May 31, 2026
Watchouts
What buyers often miss
These are the boundary conditions and purchase traps worth checking before you optimize for the lowest headline number.
Gemini app credits are not API spend
Google AI subscription access should not be treated as prepaid Gemini API or Vertex AI usage.
Batch and standard API routes can differ
For developer workflows, check whether work runs through standard API calls, batch processing, or Vertex AI because the buying route changes the cost model.
Editorial pricing notes
Pricing notes
Official plan caveats, contract details, and feature access notes that do not fit into the summary cards above.
Buying path
Start by deciding whether Nano Banana is being used through the Gemini app route or through Gemini API and Vertex AI routes. The app route fits human image generation inside Gemini, while the API and cloud routes fit builders, automation, or enterprise deployment.
Upgrade triggers
Upgrade when casual image generation becomes recurring work, when output volume requires metered planning, or when the workflow moves from user-facing experimentation into product or production use. The trigger is route ownership as much as raw generation count.
API and team boundaries
Keep Gemini app subscriptions, Gemini API usage, and Vertex AI deployment separate. App access is a user subscription decision; API spend is a developer budget; Vertex AI belongs to cloud governance, enterprise controls, and production deployment planning.
Final pricing check
Before committing, verify which route creates the image, who owns the billing account, and whether the work needs app convenience, metered API control, or cloud deployment. Do not use subscription pricing as a proxy for API or Vertex usage.
Decision archive
Price history snapshots
Track how Nano Banana pricing has moved over time, including plan lineup shifts, free access changes, and starting price updates.
1 archived snapshot
LatestFreemium · Usage based
Last confirmed
May 31, 2026
First archived April 17, 2026
Latest archived pricing state remains unchanged since it was first recorded.
View source pageStarting price
$0.045
Access model
Free plan available
Plan count
2
Billing unit
Usage based
Gemini 3.1 Flash Image Standard
api-standard
Monthly: Not listed
Annual: Not listed
Usage: Gemini 3.1 Flash Image Preview Standard: input $0.50 per 1M text/image tokens; output $3 per 1M text/thinking tokens and $60 per 1M image tokens; equivalent output approx $0.045 per 0.5K, $0.067 per 1K, $0.101 per 2K, $0.151 per 4K image
Gemini 3.1 Flash Image Batch
api-batch
Monthly: Not listed
Annual: Not listed
Usage: Gemini 3.1 Flash Image Preview Batch: input $0.25 per 1M text/image tokens; output $1.50 per 1M text/thinking tokens and $30 per 1M image tokens; equivalent output approx $0.022 per 0.5K, $0.034 per 1K, $0.050 per 2K, $0.076 per 4K image
FAQ
Nano Banana pricing FAQ
Is Nano Banana priced through Gemini subscriptions?
App-based Nano Banana access is tied to Gemini image-generation features and Google AI subscription limits. Developer API use is a separate Gemini API or Vertex AI route.
Does Gemini API spend come out of my Gemini app subscription?
No. Gemini API and Vertex AI usage are metered separately from Gemini app subscriptions, so product builds should use the API pricing lane.
When should I use the Gemini app route instead of the API route?
Use the app route for interactive creation inside Gemini. Use the API route when you need automation, product integration, batch processing, or infrastructure controls.
Why does Nano Banana pricing have multiple routes?
The same image capability can appear inside a consumer app, direct developer API, or enterprise cloud deployment. Each route has different quota, billing, and governance boundaries.
Internal links
What to open next
Keep researching Nano Banana
Pair the pricing snapshot with verdict, alternatives, and the full profile page.
ToolProfile: Nano BananaGoogle's fast Gemini image model for conversational generation and consistent edits.Review: Nano Banana ReviewNano Banana stands out for fast conversational image editing, subject consistency, and easy Gemini workflows, but the highest-fidelity creative control still sits in Pro-tier models and top rivals.Alternatives: Best Nano Banana alternatives for Gemini image editingCompare Nano Banana and Nano Banana Pro with GPT Image 2.0, Adobe Firefly, Recraft, Midjourney, and Ideogram for Gemini image editing workflows.UpdatesNano Banana changelogRecent product updates, fixes, and feature releases.
Head-to-head pages
Open direct comparison pages before choosing a plan.
VSNano Banana vs Adobe FireflyAdobe Firefly is the stronger default choice because it combines Adobe-native controls, commercial-safe positioning, and broader creative workflows while still offering access to Nano Banana as a partner model. Nano Banana is the better specialist pick for fast conversational edits and text-heavy visuals.VSNano Banana vs GPT Image 2.0GPT Image 2.0 is the safer default when the decision includes text-heavy assets, production controls, and a clear path from ChatGPT to API workflows. Nano Banana is the better specialist for Gemini-native image editing, uploaded-image follow-ups, and fast conversational refinements.VSNano Banana vs MidjourneyTie. Midjourney is stronger for stylized original art, creator-centric control, and native video extension. Nano Banana is stronger for conversational editing, text in images, accessibility, and developer reach. The right pick depends more on whether you create from scratch or revise images iteratively than on raw brand prestige.
Other reviews in this category
Sanity-check nearby tools before committing to a pricing tier.
ReviewGPT Image 2.0 ReviewGPT Image 2.0 is the most practical all-rounder in AI image generation right now, especially for posters, infographics, multilingual layouts, reference-image editing, and fast concept-to-asset work.ReviewRecraft ReviewRecraft is a strong buying choice for vector-heavy brand design, typography, and reusable marketing assets, but the decision turns on credit predictability and rights more than on raw image quality alone.ReviewAdobe Firefly ReviewAdobe Firefly is one of the most practical AI creative suites for Adobe users, with strong image, video, audio, and vector workflows but a credit model you need to watch.ReviewMidjourney ReviewMidjourney stays near the top of AI image generation with standout visual polish, strong style controls, and better web workflows, but it is still weak for API-first or typography-heavy work.