gpt-image-2 is OpenAI's image generation and editing model, released April 21, 2026 as the successor to gpt-image-1 (April 2025) and gpt-image-1.5 (December 2025). It is natively multimodal — image generation is part of the core model rather than a diffusion model bolted onto a language model — which is why it follows long, multi-part prompts and renders readable in-image text more reliably than DALL-E-era generators.
Two things set the model apart at the API level. First, an agentic "thinking" pass: for complex prompts it plans composition and reasons through constraints before generating, which lifts success rates on infographics, multi-panel layouts, and text-heavy marketing assets. Second, an editing endpoint that accepts mask images for precise inpainting and outpainting, plus up to 16 reference images per call for identity and style consistency. Output is PNG at up to 2K native resolution, with neutral color that fixes the warm cast in gpt-image-1.5.
On GPTProto you call the same gpt-image-2 model ID through the standard OpenAI-compatible request shape — no separate OpenAI account, no organization verification step, and one balance that also covers Nano Banana Pro, Seedream, Flux, and 200+ other models.
GPT Image 2 Specifications
| Spec | GPT Image 2 |
|---|---|
| Model ID | gpt-image-2 |
| Released | April 21, 2026 |
| Type | Text-to-image + image editing (inpaint / outpaint) |
| Output format | PNG (raster) |
| Max resolution | Native 2K (2048px); high-res variants up to ~4K |
| In-image text | Latin + CJK (Chinese / Japanese / Korean), dense layouts |
| Reasoning | Agentic "thinking mode" (plans before rendering) |
| Reference images | Up to 16 per call |
| Editing | Mask-based inpaint / outpaint; unedited pixels preserved |
| Input modality | Text (+ reference images) |
| OpenAI list price | $8 / $30 per 1M tokens (input / output) |
| GPTProto price | $6.4 / $24 per 1M tokens (20% under list) |
| Access | One GPTProto key, no OpenAI org verification |
GPT Image 2 vs Nano Banana Pro (and gpt-image-1.5)
| GPT Image 2 | Nano Banana Pro | GPT Image 1.5 | |
|---|---|---|---|
| Model ID | gpt-image-2 |
gemini-3-pro-image-preview |
gpt-image-1.5 |
| Vendor | OpenAI | OpenAI | |
| Released | Apr 2026 | Nov 2025 | Dec 2025 |
| Max resolution | 2K native (~4K variants ) | up to 4K (4096px) | 2K |
| In-image text | Latin + CJK | multilingual, long passages | improved vs gpt-image-1 |
| Reasoning | agentic thinking | Gemini 3 reasoning + Search grounding | none |
| Reference inputs | up to 16 images | multi-image, ~5-subject identity | fewer |
| OpenAI/Google list | $8 / $30 per 1M | $2 / $12 per 1M | $8 / $32 per 1M |
| GPTProto price | $6.4 / $24 per 1M | $ 0.0804/ per time |
$ 5.6 / $ 22.4 per 1M |
| On GPTProto | ✓ | ✓ | ✓ |
Which to pick (honest): Nano Banana Pro has the lower token rate, native 4K, and Search-grounded generation — reach for it when cost, 4K infographics, or real-world-grounded visuals matter most. GPT Image 2 leads on agentic layout planning, up to 16 reference images, and tight drop-in compatibility with the OpenAI SDK — reach for it for reference-heavy product/packaging work already wired to OpenAI. Because both run on one GPTProto balance, you can benchmark them against your own prompts without opening a second account.
Switching from the Official OpenAI API
If you already call gpt-image-2 on OpenAI, moving to GPTProto is a base-URL swap — the model ID and request shape stay the same:
- Keep
model: "gpt-image-2"and your existingimages.generate/ edit request body. - Point the client at GPTProto's OpenAI-compatible base URL
https://gptproto.com/v1and use your GPTProto key. - Skip OpenAI's Organization Verification gate that fronts the GPT Image family, and skip a second billing account — the same balance covers 200+ models.
