Nano Banana Pro pricing by resolution and workflow

The available resolution tiers are displayed from the current production model. A higher tier can require a larger quote because the provider path and delivery requirements differ. The exact amount belongs to the quote generated for the selected request; this article does not duplicate a price table that could become stale after a provider update.

Use a review setting when the team is still choosing composition, camera, product position, or visual direction. Move to a delivery setting after those decisions are approved. If the model changes the composition at higher resolution, review the new file as a distinct output rather than treating it as a deterministic enlargement.

Reference editing adds production inputs and a different creative review path even when the current quote matches text generation. Upload only necessary images, assign their roles, and confirm the selected mode. The model facts show the current reference and format controls without promising unsupported inputs.

Choose PNG or JPG according to the connected options and the next stage of the workflow. File format is not a substitute for resolution or quality review. Inspect the Library asset at full size for geometry, fine text, repeated patterns, and material edges before approving it for delivery.

Do not compare variants using model names alone. Use the same deliverable, prompt, reference set, frame, and evaluation criteria, then record attempts to approval and the protected quote for each attempt. Pro may have a higher minimum while producing a better result for a detail-sensitive job, or another variant may be more efficient for exploratory drafts.

The useful metric is total credits and review time for one accepted asset. Keep the selected model visible in project notes so a later 4K request is not accidentally attributed to Nano Banana base, Nano Banana 2, or a Lite model with a separate control and pricing profile.

CreateForge reserves the protected quote before it submits the provider task. A known failure releases the reservation, while an uncertain submission is reconciled instead of automatically repeated. This avoids converting a network ambiguity into duplicate provider work and duplicate user cost.

Successful eligible output is persisted in private storage and registered in the Library. The saved delivery asset, task status, and ledger outcome form the complete product transaction; the cost is not only a call to the underlying image model.

Start with the delivery requirement and then select resolution. A final print crop, detailed product surface, or small embedded typography may justify a higher tier, while a concept review often does not. The protected quote updates for the active request and is the authority for submission. Do not multiply a copied minimum across a campaign without confirming that every asset uses the same resolution, input mode, and number of outputs.

Separate exploration from final production in the budget. Use a representative brief to approve subject, framing, light, and style before generating every variation. Once the direction is stable, change one required variable per asset and reserve the delivery resolution for candidates that need it. This workflow does not guarantee fewer attempts, but it makes each retry answer a specific question and reduces the chance of paying high-resolution rates for directions that were never going to be approved.

Compare Pro with another candidate by total approved work. Record the quote, attempts, reference preparation, repair time, and final acceptance for the same brief. Include the cost of failed typography, identity drift, or unusable crops rather than counting only Provider successes. A model that has a higher live quote can still be the more economical choice when its control fit produces a usable result with fewer revisions.

For a large set, approve one representative high-resolution output and one difficult edge case before releasing the batch budget. The pair should test both the normal art direction and the constraint most likely to fail, such as small packaging text, repeated geometry, identity, or a demanding crop.

Record the protected quote and the maximum allowed revision count for each asset class. An escalation rule helps the operator stop when repeated attempts no longer answer a new question. At that point, a model comparison, source correction, or manual finish may be more economical than another visually similar generation.