Every image model on one OpenAI-compatible endpoint — async batch jobs, reference-image consistency and 10–30% below official pricing.
Hand the endpoint a list and a reference, and finished images come back — same worker, same key, no per-model SDK and no manual downloads.
Same worker, same key — only the model name changes.
Same inputs, $0.02 to $0.08 an image, 2.5 seconds to two minutes.
A wine glass filled to the brim with white wine, the surface level with the rim of the glass, standing upright on a plain wooden table. Straight-on eye-level shot, glass upright and not tilted, no other objects in the frame.
Same prompt inside each style. Every difference is the model.
Studio headshot of a woman in a charcoal blazer against a mid-grey seamless backdrop, lit by a large softbox slightly above and to the left with a soft fill from the right, catchlights in both eyes. An 85mm look with shallow depth of field, skin texture and flyaway hairs kept rather than smoothed.
Production pipelines for e-commerce shots, game assets, packaging and character sheets.
Reference consistencyBatch async jobsPredictable per-image cost| Model | Price · GPTProto | vs Official | vs OpenRouter | Context | Modality | Stability | Action |
|---|---|---|---|---|---|---|---|
 GPT Image 2OpenAI | $6.40per image | −20% | −24% | — | → | Try | |
 Nano Banana Pro (Gemini 3 Pro Image)Google | $0.080per image | −40% | −43% | — | → | Try | |
 Seedream 5.0 Pro (Build 260628)Bytedance | $0.041per image | −10% | −15% | — | → | Try | |
| Nano Banana 2 (Gemini 3.1 Flash Image)Google | $0.040per image | −40% | −43% | — | → | Try | |
 MidjourneyMidjourney | $0.061per image | −40% | −43% | — | → | Try | |
| Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image)Google | $0.020per image | −40% | −43% | — | → | Try | |
| GPT Image 2.5 SunburstOpenAI | $7.60per image | −5% | −10% | — | → | Try | |
| GPT Image 2.5 FlareOpenAI | $7.60per image | −5% | −10% | — | → | Try | |
 Grok Imagine Image 2.0NewGrok | $0.040per image | — | −5% | — | → | Try |
Choose a workflow and usage level to see an example monthly cost on GPTProto, alongside the same usage at comparable provider rates.
Video and agent workloads burn credits faster — the recommendation adjusts automatically as you switch scenario or usage level.
Cheap is worthless if a 5,000-image run dies at 3am. Here's how requests keep flowing — by mechanism, not by promise.
Image models run on redundant upstream channels. If one drops mid-batch, traffic shifts to a backup automatically — the run finishes instead of erroring out.
Major models are served through redundant upstream channels, so a single provider outage never takes your app with it.
Browse modelsTraffic is monitored continuously and shifted automatically — problems get routed around before your pipeline ever notices.
Enter your monthly image volume — we'll price it against official rates and OpenRouter.
Real posts from real, public accounts — nothing here is invented.
For a team already juggling DeepSeek, Kimi, Qwen, or other providers, a shared routing layer can be reasonable if it removes duplicated work and the fallback behavior is tested. GPTProto is one implementation of this approach.
I've been testing GPTProto recently, and it's honestly made my creative workflow much simpler. Instead of paying for multiple subscriptions, I can access several leading AI models from one place.
I turned this single prompt into a cinematic fantasy video using GPTProto. "Continuous 15-second cinematic shot, 4K resolution, hyper-realistic dark fantasy photorealism…"
I challenged myself to create a cinematic AI cooking short in just 15 seconds. I used GPTProto to bring the entire workflow together, from image generation to video, all in one place.
Made with Seedance 2.0 + GPT Image 2 on GPTProto. A Pixar-style commercial with the perfect glow.
What worked for me was pointing the cloud connections at GPTProto so the frontend only sees one endpoint and I just change the model name to swap. I am not rebuilding a connection from scratch every time.
I route the calls through GPTProto so a fallback is a config switch instead of a weekend rewrite when a model disappears. It turns "my default model just got export controlled" from an incident into a config change.
I used to switch between different AI tools just to compare results. Now I just use GPTProto. GPT-5, Claude, Gemini, Kimi, and more — all in one workspace.
I route the calls through GPTProto so the model id and latency land in one place regardless of which provider is behind it. The win is having the log schema consistent across providers.
I created this 15-second cinematic product video with GPTProto using Seedance 2.0, and I was really impressed by how smooth the workflow was.
GPTProto routes the character prompt and shot list to a top model on one API key: 20 minutes … voices it and burns in captions from the same key: 20 minutes.
Text, images, and voice are configured separately. You can keep OpenRouter for text and use GPTProto for visuals.
The call layer underneath the router is GPTProto, so swapping a model does not require provisioning a new provider integration. Changing models becomes cheap enough that the question stops being "should we change."
You only pay for the images you render. Top up once, spend it on any image model — top-ups of $20+ earn bonus credits.
Get started. Enough to test the endpoint and render a first batch. Top up $20+ anytime to unlock bonus credits.
The sweet spot for a small pipeline running weekly batches.
You get $600 in balance for $500 — bonus credits stack on top of already-discounted model pricing. Built for daily batch loads.
Short answers. No sales talk.
Change your base_url and API key — that's it. Everything is OpenAI-compatible, so your existing SDK, async jobs and retry logic keep working as-is.
Per output image, per model — no per-seat fee and no monthly minimum. Current GPTProto rates: Qwen Image Edit $0.020, Flux 2 Pro $0.022, Seedream 5.0 $0.025, Nano Banana 2 $0.029 and GPT Image 2 $0.039 per image. Bonus credits spend at those same rates.
Requests run through redundant upstream channels with auto-failover: if a channel goes down, traffic shifts to backups automatically. Problems are routed around rather than left to fail your run.
Yes, and that is where the saving compounds. Bonus credits land on top of the 10–30% discount and spend at the same discounted model prices — a $500 top-up arrives as $600 in balance.
Yes. Nothing here is bundled into a lock-in contract, and because the endpoint is OpenAI-compatible, moving a workload in or out is a base_url change rather than a migration project.
Yes. Invoices are available for every top-up — contact us from your registered email and we'll issue them. One account, one balance, one invoice for every image model.
Compare models, learn API setup, and explore image and video workflows for real projects.
Create images and videos online, or bring text, image, and video models into your app with one API key. Explore discounted rates on selected models.
