Quick verdict — GPT Image 2 wins on every axis
If you are still on DALL-E 3, switch. GPT Image 2 is faster, sharper, dramatically better at text, and the only OpenAI image model that ships with native multilingual rendering and a thinking mode.
Architecture: why GPT Image 2 is not “DALL-E 4”
DALL-E 3 was a diffusion model bolted to ChatGPT through a tool call. GPT Image 2 is a multimodal foundation model: prompt understanding and pixel synthesis happen inside one neural pathway. That single architectural change unlocks the typography jump — the model knows what the letters should be before it draws them.
Benchmark showdown
| Metric | GPT Image 2 | DALL-E 3 | Delta |
|---|---|---|---|
| Typography accuracy | 99% | ~70% | +29 pp |
| Native resolution | 2048² (4K upscale) | 1024² | 4× pixels |
| Render speed (standard) | ~2× faster | baseline | 2× |
| LMArena (Apr 2026) | 1,512 | retired (~1,180) | +332 |
| Multilingual non-Latin | Tier-1 | Weak | Step change |
| Thinking / reasoning | Yes | No | New capability |
| Image-to-image references | Up to 3 | 1 | 3× |
Typography — 99% vs ~70%
DALL-E 3 became infamous for inventing words on signage. GPT Image 2 hits 99% on OpenAI’s standard typography benchmark, including dense scientific diagrams and infographic posters.
Resolution — 4K native path vs 1024²
DALL-E 3 capped at 1024² with manual outpainting tricks for larger canvases. GPT Image 2 ships 2K natively and adds a 4K refinement path that preserves micro-detail without the smear that older upscalers left.
Multilingual rendering: where DALL-E 3 failed
DALL-E 3 was trained heavily on Latin-script captions; the moment a prompt asked for kanji, hangul, or Bengali, output collapsed to glyph-shaped noise. GPT Image 2 closes the gap. OpenAI’s launch demo specifically highlighted Japanese, Korean, Chinese, Hindi, and Bengali as tier-1 languages.
Migrating from dall-e-3 to gpt-image-2
// Diff: dall-e-3 → gpt-image-2
- model: "dall-e-3",
+ model: "gpt-image-2",
- size: "1024x1024",
+ size: "2048x2048",
- quality: "hd",
+ quality: "high",Three behavioral differences to test in staging:
- GPT Image 2 is more literal — drop trailing keyword spam.
- Payloads are larger (2K vs 1024²) — bump storage limits.
- Quoted strings for in-image text are honored — wrap signage and labels in double quotes.
FAQ — GPT Image 2 vs DALL-E 3
Is DALL-E 3 still available?
No. DALL-E 3 has been removed from ChatGPT and replaced by GPT Image 2. The legacy dall-e-3 API endpoint enters a deprecation window with sunset announced for late 2026.
Will my old DALL-E 3 prompts still work?
Mostly yes. Drop keyword spam, add explicit aspect-ratio chips, wrap literal text in quotes.
What about Midjourney and Flux 2?
See our other comparisons: vs Midjourney, vs Flux 2, vs Nano Banana 2.
Ready to switch? Start on the how-to guide or jump to the gpt-image-2 API docs.