MaxAPI vs fal.ai
fal.ai and MaxAPI both target developers who want hosted image and video generation. fal.ai centers on low-latency inference behind its own fal-client SDK and queue/streaming primitives. MaxAPI centers on OpenAI-compatible endpoints with route-based price tiers so the same model can be billed multiple ways.
API surface
fal.ai exposes its own queue and stream API and provides a fal-client library per language.
MaxAPI exposes the OpenAI image/video endpoints (/v1/images/generations, /v1/images/edits, /v1/videos/generations). Existing OpenAI SDK code targets it by changing the base URL and key.
MaxAPI exposes image and video generation models through the OpenAI-compatible endpoints existing OpenAI SDK code already targets. Each public model also offers multiple route modes (official / official-cheap / mix) so the same request can be billed at different price tiers, and image generation works either through OpenAI's /v1/images/* family or, for Gemini models, through Google's native /v1beta/models/{model}:generateContent path with the same MaxAPI bearer key.
Model coverage on MaxAPI today
- Image: GPT Image 2, Gemini 2.5 Flash Image, Gemini 3.1 Flash Lite Image, Nanobanana Pro, Gemini 3.1 Flash Image Preview, Gemini 3 Pro Image Preview Beta, Gemini 3.1 Flash Image Preview Beta, GPT Image 2 Beta
- Video: Seedance 2.0 Fast Beta, Seedance 2.0 Beta, Seedance 2.0 Fast Beta Face, Seedance 2.0 Beta Face, Seedance 2.0 Fast, Seedance 2.0, Veo 3.1 Lite, Veo 3.1 Fast, Veo 3.1 Quality, Omni Flash, Omni Flash Components, Omni Flash Edit, Grok Video, Grok Imagine 1.5
- All MaxAPI image models accept OpenAI-style /v1/images/* requests.
- Gemini image models also accept Google's /v1beta/models/{model}:generateContent.
Pricing model
MaxAPI bills in credits where 1 credit = 1 USD. Failed requests are not charged. Each public model exposes route_mode tiers (official, official-cheap, mix); pass route_mode in the request body to pick a tier.
fal.ai's billing varies per model and per execution; check fal.ai's own pricing pages for current rates.
Migration sketch
If you're calling fal.run() or fal.subscribe(), swap to the OpenAI SDK with base_url="https://api.maxapi.dev". Image generation becomes openai.images.generate(...); video generation becomes a POST to /v1/videos/generations + polling /v1/videos/generations/{task_id}. Async polling on the Gemini-native path uses GET /v1beta/operations/{task_id}.
When MaxAPI is the better fit
- Your stack already speaks the OpenAI image API.
- You want a single API surface for GPT Image 2 and Gemini image models with explicit cost tiers.
- You want Seedance text-to-video and image-to-video behind the same auth as the image endpoints.
When fal.ai is the better fit
- You're targeting their specific catalogue or streaming primitives.
- You want their queue/subscription primitives without rebuilding a polling loop.
Try MaxAPI by creating a key on the homepage, or read the API documentation linked from any model page.