by OpenAI2026-04-21
OpenAI's flagship image model — state-of-the-art generation + edit/inpaint. Successor to GPT Image 1 with stronger photorealism, multi-resolution flexibility, and best-in-class text rendering carried over from DALL-E 3.
GPT Image 2 (snapshot gpt-image-2-2026-04-21) is OpenAI's state-of-the-art image
generation + editing model. Replaces GPT Image 1 with higher fidelity, multi-image
edit support, and stronger character consistency.
v1/images/editsPOST /v1/images/generations — text-to-imagePOST /v1/images/edits — inpaint and multi-image edit/v1/chat/completions) and Responses (/v1/responses) tooquality — low | medium | highsize — square / landscape / portrait variantsn — number of images per requestresponse_format — url | b64_jsontransparent_background — true / false (PNG output)output_format — png | jpeg | webpGPT Image 2 still rewards descriptive natural-language prompts — same playbook as DALL-E 3. Don't over-specify camera technicals; the model interprets style words better:
GOOD: "A misty alpine valley at dawn, watercolor illustration, soft pastel palette, hand-drawn ink outlines"
LESS: "alpine, ISO 100, f/2.8, 35mm, golden hour, bokeh"
For text in images, name the exact string and font hint:
"A movie poster reading 'NIGHT TRAIN' in bold red sans-serif at the top, subtitle 'a Marek Komosa film' in elegant serif below"
Token-based — actual per-image cost depends on resolution + quality.
| Modality | Input (per 1M) | Cached input | Output (per 1M) |
|---|---|---|---|
| Image | $8.00 | $2.00 | $30.00 |
| Text | $5.00 | $1.25 | — |
Use OpenAI's image generation calculator for per-image estimates.
| Use case | Pick |
|---|---|
| Photorealism / detail | GPT Image 2 |
| Inpaint / edit workflow | GPT Image 2 (DALL-E 3 doesn't support) |
| Text rendering in images | GPT Image 2 ≈ DALL-E 3 (slight edge to GPT Image 2 for layout) |
| Cost-sensitive bulk generation | Consider GPT Image 1 or DALL-E 3 (cheaper for simple prompts) |
| Open-weights / local runtime | Flux, SDXL — GPT Image 2 is API-only |
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