ChatGPT Images 2.0 vs Nano Banana 2: Best AI for Text in Images
Both render text in images at near-print quality — the two best models in the catalogue for that. Pick ChatGPT Images 2.0 (gpt-image-2) for long English captions, conditional prompts, and infographics. Pick Nano Banana 2 for brand wordmarks, multi-line typography, and photo edits that involve adding or fixing text.
Side-by-side examples
Same prompt, run on both models - visual comparison images coming soon. In the meantime, try both directly in the editor with the buttons below.
ChatGPT Images 2.0
Visual demo coming soon
Nano Banana 2
Visual demo coming soon
Specs at a glance
| Property | ChatGPT Images 2.0Premium | Nano Banana 2Premium |
|---|---|---|
| Vendor | OpenAI | Google DeepMind |
| Released | 2025 | 2025 |
| Tier | Premium | Premium |
| Price/gen | 3 credits (medium) | 3 credits |
| Speed | ~30-60 seconds | ~20-30 seconds |
| Text rendering | Near-print quality | Best in class |
| Instruction following | Best in class | Strong |
| Surfaces | Edit + Create | Edit + Create |
Where ChatGPT Images 2.0 wins
- Long English captions — multi-sentence text in posters and infographics renders cleanly thanks to GPT-class language understanding.
- Conditional and structured prompts — 'a poster, but if the text is long use a smaller font' is parsed correctly.
- Recipe cards, infographics, comparison tables — long-form structured layouts are gpt-image-2's strongest territory.
- Multi-step edit instructions in a single prompt — 'change the season AND keep the people AND swap the sign text' lands in one pass.
Where Nano Banana 2 wins
- Brand wordmarks and logos — typography precision (font weight, spacing, casing) lands more reliably.
- Multi-line headline typography — posters with stacked headlines come out cleaner.
- Photo edits that involve text — fixing storefronts, swapping product labels, correcting misspelled signs.
- Speed — ~10-30 seconds faster on average than gpt-image-2.
Which one should you actually pick?
If the deliverable is mostly text content (recipe card, infographic, instructions) → ChatGPT Images 2.0. If the deliverable is a brand mark, logo, or photo with embedded text → Nano Banana 2. For greyzone work — a poster with both a tagline and visual content — try both. They're both 3 credits per generation, so running both for hero work costs the same as a single 6-credit run on a higher tier and you get to pick the winner.
Frequently asked questions
- Which one renders non-Latin scripts better?
- Both handle Latin scripts (English, Spanish, French, German, Italian, Portuguese) at near-print quality. Cyrillic and CJK render on both with occasional glyph errors — review before publishing. Neither has a clear edge on non-Latin work today.
- Is gpt-image-2 the same as DALL-E 3?
- No — gpt-image-2 is OpenAI's newer architecture (released 2025). It surpasses DALL-E 3 on instruction following and text rendering and is now the default behind ChatGPT's image feature.
- Why is gpt-image-2 slower?
- Larger model, multi-pass inference, and stricter content-safety checks. The 5-30 second gap is the cost of the instruction-following advantage. EdMyPic shows live progress on both.
Try both models in the editor
Run the same prompt on both and pick the winner. First generation is free.