Leaxor vs fal.ai

No, and it cannot be. Leaxor routes forty-six of its forty-seven image models through fal and pays fal's published rates, so the price you see is fal's price plus a margin. If you can write an HTTP request, going direct is the cheaper path and I would rather say that than pretend otherwise. The wrapper is worth paying for only if the code is the obstacle.

A model picker, aspect-ratio presets, prompt styling, a credit balance instead of per-call card charges, stored image history, and absorbed failure handling. On fal each endpoint has its own request schema — some take an image_size object, others an aspect_ratio string — and reconciling that is work somebody has to do. Here it is done.

Not really, and it does not try to be. The docs assume you can read a schema, errors arrive as validation objects, and storing output is your problem. That is the correct design for an inference platform. It just means the audience is engineers and teams, not someone making thumbnails for a channel.

Flux 2 Pro, Nano Banana Pro, Seedream 4.5, Recraft v4 and Ideogram v3 route through fal. HiDream goes through a different provider, chosen per model on whichever source is cheaper for that specific model rather than by picking one supplier for everything.

The same, because it is the same infrastructure. In a 20 August benchmark across six models with two runs each, medians ran from 8.9 seconds for Recraft v4 to 25.6 for Nano Banana Pro. Those are fal's numbers as much as mine. Any wrapper claiming to be faster than its own upstream is describing a cache.

Calls fail. Mine did, mid-benchmark, with 'User is locked. Reason: TOP_UP.' and roughly twenty runs died with it. Going direct means that is your monitoring problem whenever it happens. A prepaid credit balance makes the same situation visible as a number getting smaller rather than as an outage.