🟢 Is fal.ai Down?

No — fal.ai is operational

Last checked: · Uptime: 100.00% · AIWatch Score: 86 (Good)

Last incident: Sep 29, 08:23 UTC — Investigating slowness and reduced traffic (19m)

fal.ai is ranked #10 (tied) of 37 AI services by AIWatch reliability score · Monthly Reports →

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Component Status
API
Official Models

Recent Incidents · Last 7 days

No incidents in the last 7 days

View 30-day history →

About fal.ai

AIWatch Data: fal.ai's reported uptime is 100.00%. Based on AIWatch data from the last 30 days, it has maintained a clean record with zero incidents.

fal.ai is a serverless generative-media inference platform that runs image, video, audio, and 3D models over a single fast API. It is built for real-time creative tools where low-latency generation matters.

AIWatch Insight: fal runs its models on a shared serverless engine, so a single model can degrade without taking down the whole platform.

When fal.ai is down, apps calling its inference API for image, video, audio, or 3D generation will see failed or queued requests. Real-time creative tools built on fal lose their generation backend until it recovers.

This page provides real-time status and recent incident details; uptime history is shown only when the official source publishes sufficient comparable records — updated every 5 minutes by AIWatch.

Frequently Asked Questions

Is fal.ai down right now?

Check the live status indicator at the top of this page. AIWatch monitors fal.ai every 5 minutes and shows real-time operational status.

Why is my fal.ai request slow or queued?

fal requests can queue during GPU capacity spikes. Check this page for active platform incidents; if the platform is healthy, the issue may be specific to the model you are calling.

What are alternatives to fal.ai?

For serverless model inference, Replicate and Modal are alternatives. AIWatch shows current availability across providers.

How do I check fal.ai status?

You can check fal.ai status on this page, on the official fal status page at status.fal.ai, or on the AIWatch dashboard at ai-watch.dev.

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