What are Seedream 5.5 and GPT Image 2.6?
Seedream 5.5
ByteDance released Seedream 5.5 on November 9, 2026. It generates images from text and edits existing images. Its greatest value is in editing. Upload an image and describe the area you want to recolor, or extract the subject as a transparent asset for another layout. The model can handle some of the work you’d usually do in Photoshop. ByteDance announced trial access through Jimeng, Doubao, Doubao Work, and the Volcano Engine Ark Experience Center. ByteDance release announcement
GPT Image 2.6
OpenAI released ChatGPT Images 2.6 on November 4, 2026. The API offers two versions. Sunburst is suited to generation and edits that require fine detail. Flare is suited to producing drafts quickly. Both can generate an image using a reference or edit an existing image. You can mark the part you want to change. The API has separate settings for complexity, which affects how the model lays out the image, and quality, which affects how it renders details. OpenAI release announcement · GPT Image 2.6 prompting guide
Seedream 5.5 vs GPT Image 2.6 features
| Feature | Seedream 5.5 | GPT Image 2.6 |
|---|---|---|
| Image editing | Designed to preserve image details across successive edits | Sunburst for detailed edits and Flare for rapid iteration. Both support markup-guided editing. |
| Text and layout | ByteDance demonstrated dense, small Chinese text and mixed Chinese and English layouts. | Separate quality and complexity settings for layouts with different demands |
| Output formats | Native RGBA output for transparent and partially transparent assets | Transparent PNG or WebP. The API also generates SVGs. GIF output requires project access. |
| Where to try it | Jimeng, Doubao, Doubao Work, and Volcano Engine Ark Experience Center | ChatGPT, Codex, and the OpenAI Images API |
| API pricing | BytePlus first-purchase offer starts at US$0.02 per image. Standard rates are still unconfirmed. | Both versions bill by token for text input, image input, and image output. |
ByteDance model page · BytePlus product page · OpenAI image generation guide
What happens to the background after 100 watch edits?
Alisa Qian started all three models with the same watch photo. Each round used the preceding result as its input, with a request to advance the displayed time by one second. The original shows 16:30:46. The wrist, packaging, and cables make it easy to compare the images across rounds. Alisa Qian’s original video



When the label, background, and framing of a product shot are already approved, I’d try changing one area with Seedream 5.5 and check the other details against the original. GPT Image 2.6’s markup-guided editing is useful when you need to identify a specific target. If the image has two similar cups, circle the one you want to change and describe the new color. OpenAI guide to markup-guided edits
Check what survives when you extend an image
DrSadek used both models to extend the same landscape image to 9:16. Both results fill in space above and below the central figure. Seedream 5.5 frames the figure more tightly and cuts off parts of two surrounding faces. GPT Image 2.6 retains more of the scene on both sides. For a vertical cover that needs to keep those surrounding figures in view, the GPT Image 2.6 result is the better fit in this example. DrSadek’s original image and both results



Image generation with realistic lighting and bilingual layouts
A realistic scene from the same prompt
GENEL gave three models the same Japanese prompt for a candid evening photo of a Japanese deli. The owner stands behind a glass counter, with cool indoor lighting and warm sunset light from the street. Seedream 5.5 is on the left and GPT Image 2.6 Sunburst is in the middle. GENEL’s original images and prompt

Seedream 5.5 renders a broad patch of warm light on the glass counter and softer highlights on the owner’s face. Sunburst gives the glass edge brighter points of reflection and draws more texture around the owner’s eyes. I prefer Seedream’s lighting in this set. The softer reflections and highlights look more like a candid street photo.
The same bilingual poster prompt
Orylia gave Seedream 5.5 and GPT Image 2.6 Flare the same prompt for a bilingual exhibition poster. It asked for each Chinese and English title, date, opening time, and ticket price to appear once. The images below are the first result from each model, both at 1776 × 2368 pixels. Flare used medium quality and high complexity. Orylia’s comparison · Requests and original images


Both images include “形与光,” “设计展览,” and the ¥128 ticket price. Seedream 5.5 splits the English headline, dates, and opening hours across two lines each. Flare fits each of those elements on one line and places the city name at the bottom. If the dates and hours each need to fit on one line, the Flare result suits that layout better.
QuantSlant also gave Seedream 5.5 and Sunburst at high quality the same five Polish prompts. Across 389 characters, Seedream 5.5 made two errors and Sunburst made one. ByteDance’s Chinese and English evaluation in its release used GPT Image 2.5 Sunburst. To pick a model for a Chinese-language poster, try a draft with the actual copy and check the headline, hours, and ticket price individually. QuantSlant’s side-by-side results · ByteDance release announcement
Transparent assets, SVG, and GIF
Orylia’s Seedream 5.5 layer separation tool can split a poster into a background and separate transparent layers. In its example, the headline and one graphic stay together on a layer you can move into a new layout. GPT Image 2.6 can also export PNG or WebP with an alpha channel, so you can place an extracted subject against a new background. Seedream 5.5 model page · OpenAI guide to transparent backgrounds · Orylia’s layer separation example
Use the GPT Image 2.6 API to generate SVG when you need editable vector paths for a web icon or illustration. Projects with the appropriate access can also generate GIFs for short looping animations. OpenAI image generation guide
Speed and API pricing
OpenAI reports that Flare can generate an image in about 6 seconds at low quality. In Orylia’s first bilingual poster comparison, Seedream 5.5 took 27 seconds and Flare took 37 seconds. Flare was set to medium quality and high complexity, and Orylia’s timing includes polling and network wait. For batches of drafts through the OpenAI API, start with Flare and estimate the wait at the size and quality you’ll use for delivery. OpenAI release announcement · Orylia’s comparison results
Seedream 5.5 starts at US$0.02 per image under BytePlus’s first-purchase offer, with credits valid for 30 days. IT Home reported a sample price of about ¥0.28 to edit one square 2K image. As of November 10, the public Volcano Engine Ark and BytePlus materials reviewed did not list standard pay-as-you-go rates for 5.5. BytePlus product page · Volcano Engine Ark pricing · BytePlus pricing · IT Home coverage
GPT Image 2.6 has the same rates for Sunburst and Flare. Per million tokens, text input costs US$5, image input costs US$8, and image output costs US$30. If a task takes several versions and rounds of edits, add the cost of every request and divide by the number of approved images to get the cost per usable result. OpenAI API pricing
Which should you choose?
- For repeated edits to an approved image, start with Seedream 5.5. This is especially useful when the product shape, label, and background are already approved.
- For precise edits or complex layouts through the OpenAI API, start with GPT Image 2.6 Sunburst. Mark the area first if the image contains similar objects.
- For quick drafts through the OpenAI API, start with GPT Image 2.6 Flare. Switch to Sunburst for delivery if the final image needs finer detail.
- For editable SVGs or short GIFs, use the GPT Image 2.6 API. GIF output requires project access.
Frequently asked questions
Is Seedream 5.5 better than GPT Image 2.6 for editing?
Try Seedream 5.5 first if you need several small edits to the same image. If you’re adapting a landscape image to a vertical layout, compare which figures and background details each result keeps.
What’s the difference between GPT Image 2.6 Sunburst and Flare?
Sunburst is geared toward fine detail and precise edits. Flare is geared toward rapid iteration. To compare the output and wait time, use the same prompt, size, and quality setting in both.
Can both models generate transparent backgrounds?
Yes. Before delivery, place the image on its intended background and check partially transparent details such as glass, sheer fabric, and soft shadows.
Which is cheaper, Seedream 5.5 or GPT Image 2.6?
Compare the same task at the same target size, including generation, edits, and retries. Seedream’s first-purchase price applies to the corresponding bundle. GPT Image 2.6 bills for the tokens used.
Did ByteDance’s published comparison use GPT Image 2.6?
ByteDance named GPT Image 2.5 Sunburst as the OpenAI model in its release. The GPT Image 2.6 comparisons here come from the creators who published the examples.
References
- ByteDance release announcement
- OpenAI release announcement
- GPT Image 2.6 prompting guide
- ByteDance model page
- BytePlus product page
- OpenAI image generation guide
- Alisa Qian’s original video
- OpenAI guide to markup-guided edits
- DrSadek’s original image and both results
- GENEL’s original images and prompt
- Orylia’s comparison
- Requests and original images
- QuantSlant’s side-by-side results
- Volcano Engine Ark pricing
- BytePlus pricing
- IT Home coverage
- OpenAI API pricing