As of mid-2026, the short answer is this: pick GPT Image 2 when your image contains text or needs to follow long, multi-part instructions precisely, and pick Nano Banana 2 when you want fast iteration, photo editing, or images grounded in real-world places and objects. For everyday generation — a social post, a blog header, a concept sketch — both produce production-quality output, and the differences only show at the edges. The rest of this post maps out where those edges are.
Where GPT Image 2 is strong
GPT Image 2 is OpenAI's current flagship image model, and its reputation rests on two things: text rendering and instruction following.
- Text inside images. Posters, product labels, UI mockups, signage — GPT Image 2 renders legible, correctly spelled text far more reliably than most models, including small type and non-Latin scripts. If your image fails when the words come out garbled, this is the model to reach for.
- Complex instructions. Prompts with many constraints — "three people, the one on the left holding a red umbrella, overcast light, shot from slightly below" — tend to come back with every element where you asked for it. Spatial relationships hold up well.
- Consistent edits. When you edit an image in multiple passes, GPT Image 2 is good at changing only what you asked to change. Faces and untouched regions stay stable across revisions, which matters for iterative design work.
The trade-off is speed: GPT Image 2 generally takes longer per image than Nano Banana 2, especially on complex prompts.
Where Nano Banana 2 is strong
Nano Banana 2 is Google's image model, the successor to the original Nano Banana, and its defining trait is delivering near-flagship quality at high speed.
- Fast iteration. Generations come back quickly, which changes how you work — you explore more variations instead of crafting one perfect prompt. For moodboards, drafts, and high-volume creative work, this is a real advantage.
- Photo editing. The Nano Banana line built its reputation on editing-first workflows: restyling, object replacement, background changes, and blending multiple reference images while keeping subjects recognizable.
- Real-world grounding. Nano Banana 2 is notably good at depicting actual things — a specific landmark, a particular plant species, a real product category — because it can ground its output in what those things genuinely look like.
- Flexible formats. It handles a wide range of aspect ratios well, including extreme banner-style formats, which is convenient for web and ad layouts.
The trade-off: on prompts with heavy text or many interlocking constraints, it stumbles more often than GPT Image 2.
Head-to-head comparison
A qualitative summary as of mid-2026:
| GPT Image 2 | Nano Banana 2 | |
|---|---|---|
| Developer | OpenAI | |
| Defining strength | Text rendering, instruction following | Speed with near-flagship quality |
| Text in images | Excellent, including small type | Good, weaker on dense text |
| Complex multi-part prompts | Excellent | Good |
| Photo editing | Strong, very stable across edits | Strong, editing-first design |
| Generation speed | Slower | Fast |
| Real-world grounding | Good | Excellent |
| Iteration-heavy workflows | Workable | Excellent |
Which model for which job
- Text-heavy designs (posters, ads, labels, UI mockups): GPT Image 2. This is the clearest win of the whole comparison.
- Realistic portraits: both are capable. Use GPT Image 2 if the portrait sits inside a complex scene with precise staging; use Nano Banana 2 if you're iterating toward a look and want fast feedback.
- Illustration and stylized art: largely a tie on quality. Nano Banana 2's speed makes it the better default for exploring styles; switch to GPT Image 2 when a specific composition refuses to follow your instructions.
- Product shots: Nano Banana 2 for speed and its grounding in real-world objects — unless the shot needs accurate on-pack text, in which case GPT Image 2.
- Editing an existing photo: both work well. Nano Banana 2 is the faster default; GPT Image 2 is worth the wait when you need several rounds of edits without drift.
Using both models on Bno AI
Bno AI gives you both models in one workspace, so you don't have to commit to either. On the generator, pick a model from the selector, run your prompt, then switch and run the same prompt again — comparing outputs side by side is the fastest way to learn which model fits your work.
The practical details:
- The free tier includes 10 credits per day. GPT Image 2 starts at 2 credits per image (1K) and Nano Banana 2 at 6 — one image from each fits in a day's free credits, so you can compare them daily at no cost.
- Anonymous visitors get 10 free trials per day without signing up.
- Image-to-image and uncrop (outpainting) workflows are supported alongside text-to-image.
- If you outgrow the free tier, Pro is $20/month for 2,000 credits, or $120/year — effectively $10/month.
FAQ
Do the two models cost different amounts on Bno AI? Yes. GPT Image 2 costs 2 / 3 / 4 credits per image at 1K / 2K / 4K; Nano Banana 2 costs 6 / 8 / 12. The exact figure for your settings is shown before you generate, and image-to-image costs the same as text-to-image on both.
Can I run the same prompt through both models? Yes, and you should. Prompts are portable between the two — run one, switch the model on the create page, and run it again. Differences in text handling and composition show up immediately.
Which model is better for text in images? GPT Image 2, clearly, as of mid-2026. If your design depends on readable words — headlines, labels, interface text — start there.
Do I need a subscription to generate images? No. The free tier's 10 daily credits cover image generation — and even one budget video clip. Pro and Ultimate add volume, watermark-free output, and commercial use rights.
