Same GPT Image 2. 20–30% cheaper.
Same OpenAI GPT Image 2 model, bought in volume and passed through as credit packs. $0.035–$0.056 per image, one HTTP endpoint, native 2K output, and 95%+ multilingual text legibility.
$ curl https://gptimage2.com/api/images \
-H "Authorization: Bearer $GPTIMAGE2_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "model": "gpt-image-2", "prompt": "editorial portrait, shallow dof", "size": "1024x1024" }'
How it stacks up.
Independent benchmarks from LM Arena and Artificial Analysis. The numbers below come from third parties — not us.
| Capability | gpt-image-2 OpenAI | Nano Banana Pro Gemini 3 Pro Image | Nano Banana 2 Gemini 3.1 Flash Image |
|---|---|---|---|
| LM Arena ELO (text-to-image) | 1,512 | 1,360 | 1,360 |
| In-image text accuracy | 99%+ multilingual | Strong (EN focus) | Strong (EN focus) |
| Generation time | ~3 s | 10–20 s | 4–8 s |
| Native resolution | 2K (4K upscale) | 1K (4K available) | 1K (4K available) |
| Reasoning mode | Built-in Thinking | — | Minimal · High · Dynamic |
| Multilingual scripts | EN · ZH · JA · KO · AR · HI · BN | EN-strong, others variable | EN-strong, others variable |
| Character consistency | Pixel-level across angles | Up to 5 subjects | Up to 5 subjects |
| Batch per call | Up to 10 | Multiple | 1–4 |
| API schema | OpenAI Images (drop-in) | Google Gemini API | Google Gemini API |
| Official list price (1024px, high) | $0.21 | $0.12 | $0.06–$0.12 |
Same model. A fraction of the cost.
We pre-purchase OpenAI capacity in bulk and pass the volume discount through credit packs. That puts gpt-image-2 at $0.035–$0.056 per image on your account — same OpenAI model, ~75% below the direct list price, and cheaper than every Nano Banana tier. Use it as your default, not just for hero assets.
Public APIs, not placeholders.
The cards below now mirror the docs: real public endpoints, real model IDs, and the image and video APIs people actually call first — GPT Image 2, the three Nano Banana tiers, Veo 3.1, and Sora 2.
GPT Image 2 API
Our primary OpenAI image endpoint. Use `gpt-image-2` on `POST /api/ai/image/generate` for text-to-image or image-to-image with the same model ID and a flat 3-credit call.
Nano Banana API
The fastest Nano Banana tier. Call `POST /api/ai/image/generate` with `google/nano-banana` for lightweight text-to-image or image-to-image jobs at a flat 3 credits.
Nano Banana 2 API
The flagship Google image tier in this stack. Same public image endpoint, model ID `nano-banana-2`, with 1K / 2K / 4K output tiers and up to 14 reference images.
Nano Banana Pro API
The higher-cost, higher-fidelity Nano Banana variant. Use `nano-banana-pro` on the same image endpoint when you need 2K / 4K output and stronger premium generation.
Veo 3.1 Video API
Flagship Google video generation through `POST /api/ai/video/generate`. Public models include `veo3`, `veo3_fast`, and `veo3_lite`, with both text-to-video and image-to-video support.
Sora 2 Video API
OpenAI video generation on the public video endpoint. Supports `sora-2-text-to-video`, `sora-2-pro-text-to-video`, and `sora-2-image-to-video` for the most recognizable OpenAI video entry points.
What makes gpt-image-2 different.
Four shifts from the previous generation — the reasons production teams stopped wrestling with garbled text, drifting characters and ignored prompts.
Per image. No surprises.
Pay only for the images you generate. Start with 2 free credits on signup — no card required — then scale on flat per-image pricing for gpt-image-2.
Lite
250 credits≈ 250 GPT Image 2 images
Entry-level API for indie builders
- 250 credits
- Image generation API
- 3 concurrent requests
- Email support
- Video generation API
- Commercial license
Pro
1,000 credits≈ 1,000 GPT Image 2 images
Scalable API for production workloads
- 1,000–8,000 credits
- Image + Video API
- 10 concurrent requests
- Priority queue — 2× faster
- Commercial license
Business
16,000 credits≈ 16,000 GPT Image 2 images
High-volume API for teams and agencies
- 16,000 credits
- All models + early access
- 50 concurrent requests
- Dedicated queue — 3× faster
- Team seats + usage dashboard
- Priority support & SLA
Or get started for free
Free
50 credits≈ 50 GPT Image 2 images
Get started with Nano Banana AI image editing
- 5 credits per day (login to claim)
- Standard quality output
- Community support
- Basic AI models
- HD & 4K resolution
- Priority queue
Answers
Common questions teams ask before wiring GPT Image 2 into their stack.
Still need help? Talk to a human
GPT Image 2 (model ID gpt-image-2) is OpenAI's second-generation native image model, released April 21, 2026. It succeeds GPT Image 1.5 with three step-changes: multilingual in-image text rendering at 95%+ legibility, reasoning that interprets layered prompts, and native 2K resolution with optional 4K upscale. We expose the model through one HTTPS API covering text-to-image, natural-language editing, variations, style transfer, 4K upscale and multi-reference blending.
Three places. (1) Text inside images: 1.5 hit ~70% on Latin scripts only; gpt-image-2 hits 95%+ across English, Chinese, Japanese, Korean and Arabic. (2) Prompt fidelity: 1.5 starts dropping elements past six or seven; gpt-image-2 holds fifteen-element scenes thanks to reasoning integration. (3) Resolution: native 2K (vs 1K), with optional non-destructive 4K upscale. DALL-E 3 still ships for backwards compatibility, but gpt-image-2 is the model to build on.
Two places to know before you ship. Brand-logo reproduction is unreliable — for exact vector marks, composite them in Photoshop or Figma after generation. And generation is slower than lightweight models like FLUX, typically 30–60 seconds per image. For production pipelines this is a fair trade for the prompt fidelity, but not the right pick for instant interactive UIs.
Yes. New accounts receive 2 free image credits on signup — no card required. Daily free credits refresh on weekdays so you can keep building through prototyping.
Yes. Every paid tier includes a royalty-free commercial licence for advertising, e-commerce, editorial, print and derivative works. You own full rights to your outputs; we retain none.
Any HTTP client works. The request schema mirrors OpenAI's Images API, so existing OpenAI SDKs (TypeScript, Python, Go, Swift) can redirect the base URL and keep running. Inside images, gpt-image-2 reliably renders English, Chinese, Japanese, Korean, Arabic, and most other major scripts.
Still need help? Talk to a human
From prompt to production by end of day.
One curl call, one webhook, then gpt-image-2 lives in your product. The request schema mirrors OpenAI's Images API — most existing SDKs only need a base URL change to start generating.