I build a free multimodal AI API that works with any OpenAI SDK
I got tired of juggling three different providers to prototype one multimodal app — a key for chat, another for images, another for video, each with its own SDK and a credit card requirement before you can test anything.
I got tired of juggling three different providers to prototype one multimodal app — a key for chat, another for images, another for video, each with its own SDK and a credit card requirement before you can test anything.
So I built NFlashX: one API key for chat, image generation and video, behind a single OpenAI-compatible interface. It's live, and the free tier doesn't ask for a card.
Free tier and pricing
| Model | Output | Rate limit | Price (per 1M tokens) |
| NFlashX 1.0 Flash | 4K | 2 req/min on free |
| NFlashX 1.0 Pro | 8K | 30 req/min | $0.40 in / $0.70 out |
| NFlashX Vision 1.0 Flash | image | — | $0.01 per image |
New accounts start with $1.00 in credit — enough to run a real test, not just a hello-world. Limits are per key, rates are published, and everything lives under a stable /v1.
Why one more API?
Partly selfish: I wanted a sane way to prototype multimodal features without wiring three SDKs. Partly practical: not everyone can put an international card on file, so top-ups also work through local QR transfer and USDT.
It's a young, small project — the first 100 accounts are open.
Feedback welcome
- Is the request/response format close enough to OpenAI for true drop-in use?
- What would make you pick this over a big provider for a side project?
- Which endpoint matters most to you next: video, better vision, or higher rate limits?
Links:
- Website: https://nflashx.cc.cd
- Docs: https://nflashx.cc.cd/docs.html
- GitHub: https://github.com/nflashx/nflashx
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.