fal video models vs MiniMax Video API

fal video models

One key and one queue API reach 137 active text-to-video endpoints, each with a published price, an OpenAPI document and an llms.txt. Billing units, duration formats and audio pricing differ per model, there is no free tier, and a person must sign up in a browser and buy credit.

MiniMax Video API

2K with stereo audio at $0.13 a second, 768P at $0.08. No statement found on whether API inputs train models, and the privacy policy needs a browser.

fal video models

1. Submit to queue.fal.run, keep the request_id, then poll status_url or set fal_webhook. Never resubmit to check progress, because each submit is a new billable job
2. Read https://fal.ai/models/<endpoint-id>/llms.txt before a call. duration is the string "5" on Kling, "8s" on Veo 3.1 and an integer on Wan 3.0
3. Set generate_audio on purpose. It defaults to true and raises the Kling v3 Pro price from $0.112 to $0.168 a second and Veo 3.1 from $0.20 to $0.40
4. Check metadata.status in https://api.fal.ai/v1/models before pinning an endpoint. Deprecated endpoints carry no removal date
5. Use an API-scope key, never an ADMIN key. A new account runs 2 requests at once, so long video jobs queue behind each other
6. The MCP relay has no server-side approval gate. Call get_pricing and get the owner's approval before submit_job

MiniMax Video API

1. Use POST /v2/video_generation for H3 and poll GET /v2/query/video_generation/{task_id}. Tasks stay queryable for 7 days
2. Set ratio for text-to-video. adaptive isn't allowed there
3. Pass callback_url to skip polling. Your endpoint must echo the challenge within 3 seconds
4. A 402 means the balance is empty and a 422 means moderation blocked the content. Don't retry either unchanged