Pricing6 min readSeptember 13, 2026

GPT Image 1.5 Image-to-Image Pricing on VdoBloom: 10 Credits Per Edit

GPT Image 1.5 image-to-image is a flat 10 credits per edit on VdoBloom ($0.50 at the Lite rate) no matter the quality, aspect ratio or how many of the 10 input images you attach. Full cost tables and budget math.

GPT Image 1.5 image-to-image costs a flat 10 credits per edit on VdoBloom — about $0.50 at the Lite rate, where $15 buys 300 credits and one credit is worth $0.05. That price does not move when you switch quality from medium to high, when you change aspect ratio, or when you attach two reference images instead of ten. One submitted edit, one charge of 10 credits, however many inputs you stacked into it.

Why GPT Image 1.5 is billed as one flat number

Most image models on VdoBloom price by output resolution, so a 4K render costs more than a 1K one. GPT Image 1.5 image-to-image does not expose a resolution selector at all. Its controls are aspect ratio (1:1, 2:3 or 3:2) and quality (medium or high), and neither of those changes the credit line. The backend stores it as a single entry worth 10 credits, with no variant table behind it, so the number you see before you press generate is the number you pay.

The second thing the flat price absorbs is input count. The model accepts up to 10 source images in one job, and VdoBloom bills the edit request, not the uploads. A single-photo retouch and a ten-photo composite are both 10 credits. If you routinely work with several references — a subject from one shot, a fabric texture from another, a layout from a third — this model is one of the few on the platform where that habit is genuinely free.

The full price table

What you chooseCreditsCost at $0.05/creditWhat you get
Medium quality, 1:1 square10$0.50Faster draft render, square frame
Medium quality, 2:3 portrait10$0.50Vertical frame for social and print
Medium quality, 3:2 landscape10$0.50Default frame, widest of the three
High quality, any of the three ratios10$0.50More rendering effort, cleaner fine detail
1 input image10$0.50Straight edit of a single photo
10 input images (the maximum)10$0.50Multi-reference composite, same price
Prompt of 3,000 characters (the maximum)10$0.50Long multi-step instructions, no surcharge

Two practical readings of that table. First, always pick high quality unless you are deliberately iterating fast — it is the same 10 credits, so choosing medium buys you speed, not savings. Second, your 10 free signup credits, which every new account gets with no card, buy exactly one GPT Image 1.5 edit. It is a fair way to test whether the model’s instruction-following suits your work before you spend anything.

What 10 credits per edit means for a monthly budget

Credit sourceCreditsGPT Image 1.5 editsEffective cost per edit
Free signup balance101$0.00
One-time pack from $2.49757 (5 credits left over)about $0.33
Lite, $15/month30030$0.50
Lite billed annually, $10/month30030about $0.33
Pro billed annually, $49/month2,000200about $0.25

Annual billing is the single biggest lever on this model’s real cost: the same 10-credit edit lands at roughly $0.25 on the annual Pro tier versus $0.50 on monthly Lite. One-time packs never expire, which suits people who edit in bursts around a launch rather than every week. Current tiers are listed on the pricing page.

Is 10 credits a good price on VdoBloom?

It sits in the upper-middle of the image editors on the platform. Cheaper options exist and are often the right call for routine work:

  • GPT Image 2 image-to-image — 3 credits at 1K, 5 at 2K, 8 at 4K. Same OpenAI lineage, resolution-tiered, and cheaper at every tier. See the GPT Image 2 I2I model page.
  • Seedream 5 Lite image-to-image and Qwen2 image edit — 6 credits per edit, both looser on content filtering.
  • Seedream 4.5 edit and Flux Kontext Pro — 7 credits.
  • Nano Banana 2 Lite — 8 credits, up to 10 inputs.
  • Flux 2 Pro image-to-image — 12 credits, and Nano Banana Pro at 18 credits (24 at 4K), both above GPT Image 1.5.

What you are paying the extra credits for is comprehension. GPT Image 1.5 parses a long conditional instruction — change the jacket to denim, keep the printed logo legible, match the light coming from the left — more literally than most editors, which tend to turn multi-clause prompts into an approximate restyle. If your edit is one simple change, a 6-credit model will usually match it. If your edit is four changes that must all land and one detail that must not move, the 10 credits are the cheaper outcome once you count retries.

Costs you will not be charged

Failed jobs are refunded automatically. If the provider returns no image, errors out, or blocks the request at moderation, VdoBloom returns the 10 credits to your balance and tells you why. That matters more than usual here because GPT Image 1.5 carries the platform’s strictest content label — OpenAI’s filters are conservative, and prompts involving real people or suggestive framing are refused more often than on the flexible-tier models. A refused prompt costs you time, not credits.

There is also no upload surcharge, no storage fee for the result, and no per-seat charge. Paid plans download watermark-free with commercial rights. Files are capped at 10MB each on upload, which is a technical limit rather than a pricing tier.

A worked example

Say you are producing 40 product shots for a catalogue refresh: each needs the background swapped to a neutral studio grey, the reflection under the product kept intact, and the label text left untouched. That is a multi-clause instruction where literal compliance is the whole job, so GPT Image 1.5 is a reasonable pick. 40 edits at 10 credits is 400 credits. On monthly Lite (300 credits) you would need a small top-up pack; on annual Pro’s 2,000-credit tier the whole batch costs roughly $10 of your allowance and leaves 1,600 credits for the rest of the month. Budget a 10–20 percent retry margin in practice, and remember refused or failed runs come back to you.

You can run all of this from the image editor, or start from a generated base image in image generation before editing it. Full specs and ratings live on the GPT Image 1.5 I2I model page. If your edit is of a photograph of a real person, you need that person’s consent before you generate or publish it.

Frequently asked questions

How much does one GPT Image 1.5 image-to-image edit cost?

10 credits, which is $0.50 at the Lite rate of $0.05 per credit, and roughly $0.25 per edit on the annual Pro tier. The price is identical for medium and high quality and for all three aspect ratios.

Does attaching more input images cost more credits?

No. VdoBloom bills per edit request, not per uploaded image. One image or the maximum ten, the charge is 10 credits.

Do I get charged if the edit fails or is blocked?

No. Failed generations, empty results and provider moderation blocks are refunded automatically to your balance, and the error message tells you which of those happened.

Is there a cheaper OpenAI-family editor on VdoBloom?

Yes — GPT Image 2 image-to-image starts at 3 credits for a 1K output and tops out at 8 credits for 4K, so it is cheaper than GPT Image 1.5 at every resolution tier while adding a resolution selector and a much longer prompt limit.

What do my 10 free credits get me?

Exactly one GPT Image 1.5 edit, with no card required. If you want more test runs from the free balance, a 3-credit GPT Image 2 edit at 1K stretches the same 10 credits to three attempts.

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