Transparent sticker: GPT Image 2.5 background field or Nano Banana 2.1

Only GPT Image 2.5 lists a background field on Sume. Nano Banana 2.1 does not, so a transparent PNG there is $0.10 plus a $0.0225 background-removal step.

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For a transparent sticker, ChatGPT Image 2.5 is the Sume image row that takes a background field (auto, transparent or opaque). Nano Banana 2.1 does not list that field, so a transparent PNG from it means a second step: $0.10 for the image at 1K plus $0.0225 for background removal, $0.1225 in all.

What the catalog lists

The Sume docs say ChatGPT Image 2.5 supports background, and the catalog code adds it only to the two GPT Image 2.5 rows. A request that sets a parameter a model does not list returns 400 unsupported_parameter rather than ignoring it.

Transparent output paths on Sume, as of 2026-10-08
PathCallsArithmeticCost per sticker
openai/gpt-image-2.5 with background transparent1set quality and size, read the quotevaries
google/nano-banana-2.1 at 1K plus background removal20.10 + 0.0225$0.1225
google/nano-banana-2.1 at 0.5K plus background removal20.075 + 0.0225$0.0975

Which to use

If you make hundreds of stickers, price both. The GPT row costs depend on quality and size, so quote one sample before multiplying. The two-step path has a fixed price you can compute up front, but it adds a second job to track and the cut-out edge can be rough on hair or glass.

Prompt tip

Ask for a flat, single-color or white background and a clear outline when you plan to cut it out later, and keep shadows off the ground plane. A clean cut starts with a clean source.

Checking a cut-out

Put each result on a dark and a light background and look at the edge. Halos show up on one of them. If the edge fails, regenerate with a plainer background rather than fixing it by hand, because at $0.10 or less a retry is cheaper than editing time.

For GPT Image 2.5, request output_format: "png" when the background is transparent. Sume lists png, jpeg and webp for the row, and a transparent image needs an alpha channel, which JPEG does not have.

Price a pilot of 20 stickers on each path before you commit a large run. The pilot costs about $2 to $3 and shows the failure rate.

Costs to remember

The GPT Image 2.5 path has no second step, but its price needs a quote because it is token-based. Request a single sticker with quality and image_size set, read usage.cost, then multiply. The two-step Nano Banana 2.1 path has a known price, $0.1225 at 1K, but two jobs.

Whichever path you take, store the original and the cut-out. If you later move to a different cut-out tool, you can redo the second step without paying for the image again.

For a small shop, a rough plan is 20 stickers a week. On the two-step path at 1K that is 20 x $0.1225 = $2.45 a week. At 0.5K it is 20 x $0.0975 = $1.95. A weekly total under $3 means the choice between paths is about quality and your time, not money. If you run 2,000 stickers, the same arithmetic gives $245.00 and $195.00, and the pilot is worth doing carefully.

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