What Makes GPT Image 2 Different: A Practical Guide for Prompt Writers
July 12, 2025
We’ve tested over 167 prompts across GPT Image 2, ChatGPT, Midjourney, and DALL-E. Here’s what we’ve actually learned about how GPT Image 2 works — not the marketing version, the real version.
What GPT Image 2 Is Actually Good At
GPT Image 2 is the first AI image model that genuinely understands text. Not just “can render text” — it understands what text means in context. You can ask it to put a specific quote on a poster, write a menu for a restaurant scene, or add a street sign in the background, and it will get the spelling right almost every time.
It’s also remarkably good at following complex spatial instructions. “Put the cat on the left side of the table, with the vase behind it and the window to the right” — GPT Image 2 will actually do this. Midjourney would give you a beautiful image that ignores half your instructions. DALL-E would try but get the spatial relationships wrong.
The third strength is consistency. If you’re doing iterative edits — “now change the background to blue” or “make the character older” — GPT Image 2 maintains the rest of the image much better than other models.
Where It Struggles
GPT Image 2 is not the best at pure artistic style. Midjourney still produces more aesthetically striking images when you want a specific art style — oil painting, watercolor, anime. GPT Image 2 tends toward a clean, slightly digital look even when you ask for traditional media styles.
It also has a tendency to over-light scenes. Ask for a dark, moody atmosphere and you’ll often get something that’s brighter than you wanted. The fix is to be very explicit: “low-key lighting, deep shadows covering 70% of the frame, only the face is lit.”
Hands are better than they used to be, but still not perfect. For character-focused prompts, it helps to specify what the hands are doing: “holding a cup,” “resting on the table,” “tucked in pockets.”
How to Write Better GPT Image 2 Prompts
Be specific about spatial relationships. Instead of “a person in a room,” say “a person sitting at the left side of a wooden desk, facing a window on the right, with bookshelves behind them.”
Specify lighting explicitly. “Golden hour light from the left” or “overhead fluorescent lighting” gives much better results than just “warm lighting.”
Use the word “photorealistic” if you want photorealism. GPT Image 2 defaults to a slightly illustrated look. Adding “photorealistic, shot on Canon EOS R5, 85mm lens” pushes it toward realism.
For text in images, put the exact text in quotes: “The sign reads ‘OPEN 24 HOURS’ in red neon letters.”
Keep prompts under 200 words. GPT Image 2 handles long prompts better than most models, but after 200 words it starts ignoring details at the end.
GPT Image 2 vs. Midjourney vs. DALL-E
Here’s the honest comparison based on our testing:
GPT Image 2 wins at: text rendering, spatial accuracy, iterative editing, UI/UX mockups, product photography, and anything requiring precise control.
Midjourney wins at: artistic style, aesthetic quality, fantasy/sci-fi concept art, and images where “vibes” matter more than accuracy.
DALL-E 3 wins at: nothing, honestly. GPT Image 2 is better at everything DALL-E 3 used to do. It’s effectively the successor.
Browse our full library of 167+ tested AI prompts with example images and breakdowns.
GPT Image 2 PromptsThe Bottom Line
GPT Image 2 is the best general-purpose AI image model right now. It’s not the most artistic (that’s still Midjourney) and it’s not the most creative (that’s arguably still human artists). But for reliability, control, and text rendering, nothing else comes close.
If you’re new to AI image generation, start with GPT Image 2. If you’re already using Midjourney, add GPT Image 2 for the tasks where precision matters. And if you’re a traditional artist looking for inspiration rather than AI generation, our drawing prompt generator is built specifically for you.
New to GPT Image 2? Read our step-by-step beginner’s guide.
How to Use GPT Image 2