GPT Image 2.5 vs Seedream 5, Tested Side by Side

GPT Image 2.5 got this prompt, word for word: "Create a product photo: one slim 355 ml can of ZUMIA grapefruit sparkling water: coral-pink aluminium with a white line drawing of a grapefruit slice and the word "ZUMIA" printed vertically in white, stands on the wet stone edge of a swimming pool at midday. Water splashed from the pool pools around its base and beads on its sides, and cold condensation frosts its upper half. Hard midday sun from high on the right puts one sharp highlight stripe down the can, and sunlight bouncing off the moving pool water throws rippling light lines onto its left side. Behind, the pool water is turquoise and out of focus, with the rippled shadow of a palm leaf across it. Low camera at can height, the can slightly left of centre with its label facing the camera. The can carries only its printed word and drawing, and the rest of the picture has no added text or watermark."

Seedream 5.0 got this one: "Create a product photo: one slim tall can of ZUMIA grapefruit sparkling water: coral-pink aluminium with a white line drawing of a grapefruit slice and the word "ZUMIA" printed vertically in white, stands on the wet stone edge of a swimming pool at midday. Water splashed from the pool pools around its base and beads on its sides, and cold condensation frosts its upper half. Hard midday sun from high on the right puts one sharp highlight stripe down the can, and sunlight bouncing off the moving pool water throws rippling light lines onto its left side. Behind, the pool water is turquoise and out of focus, with the rippled shadow of a palm leaf across it. Low camera at can height, the can slightly left of centre with its label facing the camera. The can's only text is the single word "ZUMIA"; the rest of the can is plain coral aluminium with the grapefruit drawing and no small print, volume mark, barcode or other lettering, and the rest of the picture has no added text or watermark."

The difference, in plain words: the scene, light and camera are the same. For Seedream we added one line saying the can's only text is the single word ZUMIA, with no small print, volume mark, barcode or other lettering, and we dropped the "355 ml" size words from the first line. Why: on its first run with the exact GPT Image 2.5 prompt, Seedream printed a garbled volume line on the can that nobody asked for. The Seedream picture on this page is its second run.

So this is not a pure same-prompt test: Seedream got one extra instruction, and GPT Image 2.5 printed only ZUMIA without it. GPT Image 2.5 only makes 1K on Reviral, so its picture is 1086 × 1448 px; Seedream 5.0's is 1728 × 2304 px at 2K.

Written and tested by the Reviral team on 24 September 2026. Every picture on this page was made on Reviral that day with the exact prompt printed next to it, one try each, nothing retouched. Prices read from Reviral's public model list and credit-cost list the same day.

For product pictures where the label must match your brief: GPT Image 2.5. It printed only ZUMIA on the first try, kept the can closed and drew the pool light where the prompt put it, for 2 credits.

For a bigger file (2K or 3K) with more drama, or up to 10 reference pictures: Seedream 5.0. Its splash is striking, but spell out the label rules: it needed an extra "no small print" line before it stopped adding text.

Neither one is best at everything. One picture on each costs 8 credits, about $0.10: run your own product prompt on both.

GPT Image 2.5: name the job first ("Create a product photo"), write the label text in quotes, and end with a line that the can carries only its printed word and drawing. Our GPT Image 2.5 prompt guide has five tested examples.

Seedream 5: describe the scene in plain words, give one light and its effect, and put the photo style last. For labels, say exactly what the only text is and list what must not appear (small print, volume marks, barcodes). For a product you already own, add its photo as a reference instead of describing it. Our Seedream 5 prompt guide has five tested examples.

On both, zoom in on every letter of the label before you publish.