GPT Image 2.6 vs 2.5: What Really Changed, What Stayed the Same and Which One to Choose

OpenAI released GPT Image 2.6 less than two months after 2.5. What was added, what stayed the same, when each version is the right choice, and how to test it on your own business for a few credits.

On November 4, 2026 OpenAI released GPT Image 2.6, less than two months after GPT Image 2.5. Both versions are built the same way: fast Flare and precise Sunburst. So the natural question is what actually changed, and whether there is a reason to move. The day after the release we ran 2.6 on real business work: a billboard, a menu, a product label and GIFs. Here you will find what OpenAI states, what we measured ourselves and what an independent test found, with the source beside each number.

Worth knowing: The short answer: want a GIF, or a fast result on Flare? Choose 2.6. Want to fix the same picture again and again inside one conversation? Choose 2.5. On Cadabra AI a picture costs the same number of credits on both versions, so the price does not need to decide this.

What Is New in GPT Image 2.6

• Animated GIF: this is the change you see first. The model returns a GIF from words or from a picture, while 2.5 returns a still.
• Speed: OpenAI says it is 50% faster than before, and Flare at low can finish in as little as six seconds. In our runs, at 1K and medium, Flare on 2.6 finished in about 10 seconds and Flare on 2.5 in about 13.
• Layout: OpenAI says Flare arranges posters and product images better.
• Consistency between edits: OpenAI says Sunburst at medium and high holds the same details better when you edit one picture several times.
• How much the model plans: choose low, medium or high, depending on how much work the model does before it draws. OpenAI recommends low for most edits.

What Stayed the Same: Spelling

This deserves precision, because it is why many people look for a new version. An independent test comparing the two versions measured no gap in text accuracy. So anyone happy with the letters on 2.5 keeps getting good letters, and anyone looking for better letters should change the writing first. In our runs all six Hebrew pictures on Sunburst at medium came out right, including a five-line menu and a chart with six labels. What did the work was that every sentence sat in its own quotes, and the word naming the deliverable (billboard, menu, label) was written out.

Sunburst did not become a fast model either. In our runs it took about half a minute at 1K, and in the independent test it came out a little slower than before. That is the cost of a model that plans: for text, labels and edits it is worth the wait, and for quick ideas there is Flare.

When 2.5 Is the Right Choice

On GPT Image 2.5 you can fix the same picture later in the conversation: ask to move a headline, brighten a background or change a color, and the model continues from the picture it already made. On 2.6 you upload the picture again and ask for the change. Anyone working in many small rounds on one picture, say with a client who keeps asking for adjustments, will find the flow on 2.5 more comfortable. Both versions stay available side by side, so there is no need to choose once and for all.

When to Move to 2.6

• You want a GIF: a waving mascot, a looping product or a flickering neon sign.
• You make many pictures in a row on Flare, and every second counts.
• You work on posters and product images, and want the layout improvement OpenAI describes.
• You edit the same product or character over several Sunburst rounds, and the details need to stay put.

Flare or Sunburst Inside 2.6

Once you have chosen a version, one choice remains: Flare for ideas, styles and pictures with no text, and Sunburst for Hebrew, labels and edits. These are the prices on Cadabra AI, and you always see the price before you approve:

• Flare, 1K, medium: 1 credit.
• Sunburst, 1K, medium: 2 credits.
• Sunburst, 2K, high, for a sharp print finish: 8 credits.
• Each reference picture adds 1 credit.

How to Decide on Your Own Business, for a Few Credits

No table replaces a run on your own work. Here is a fair comparison: take a picture you really need this week, run exactly the same prompt on both versions, at the same resolution and quality, and check four things. Read the text letter by letter, look at how things are arranged, note how long it took, and ask for one fix to see what holds. This is the prompt we ran for the billboard at the top of this page. Swap the product, the city and the two quoted lines:

A photograph of a huge roadside billboard above a Tel Aviv highway at golden hour, shot from the road on a 35mm lens. The billboard advertises a neighborhood bakery. A giant golden butter croissant bursts out of the flat billboard frame in real 3D, flakes falling onto the road below, while the cars underneath keep driving. On the billboard, on a deep navy background, big bold Hebrew headline exactly: "הקרואסון שלנו קם לפניך". Under it, smaller, exactly: "בצק על החיים". Every Hebrew letter must be correct and read right to left. No other text anywhere.

And Where to Run It: ChatGPT or Cadabra AI

ChatGPT is a good way to try the model. OpenAI offers the choice between Flare and Sunburst and the planning level to developers through the API, and the ChatGPT help page mentions the aspect ratio as the choice. On Cadabra AI the model, quality, resolution, planning and shape are buttons, with no code. You see the price before every run, and a run with no result gives its credits back. If you already work inside ChatGPT or Claude, you can connect the Cadabra AI connector and keep talking in the same conversation.

Where to go next

• GPT Image 2.6: the full guide, with the prompts and results
• 105 image codes, and here they run
• 61 codes that turn a picture into a clip
• More guides on the blog