AssemblyAI Universal-3.6 Pro Realtime $0.45/hr vs Sume STT per minute
AssemblyAI says Universal-3.6 Pro Realtime is $0.45/hr, unchanged from 3.5 Pro. Per-minute math next to Sume STT at $0.01 per audio minute.

AssemblyAI's Universal-3.6 Pro Realtime post says the price is $0.45/hr of audio, unchanged from 3.5 Pro, with volume discounts at any tier. That is $0.0075 per minute. Sume's speech-to-text is $0.01 per audio minute, or $0.60 an hour.
AssemblyAI's price is from its launch post; Sume's from the rate card and the video inspect docs, read 2026-10-01. The AssemblyAI figure is for realtime; Sume STT is a batch job.
What is unchanged?
The post states Universal-3.6 Pro Realtime is $0.45/hr of audio, the same as 3.5 Pro. It also says volume discounts apply at any tier, without publishing the tiers. A model upgrade at the same list price means your forecast does not move because of the version change.
How does the hourly rate convert?
Dividing $0.45 by 60 gives $0.0075 a minute. The table scales both rates to common volumes.
| Audio | AssemblyAI 3.6 Pro Realtime | Sume `sume/stt-1.0` |
|---|---|---|
| 1 minute | $0.0075 | $0.01 |
| 1 hour | $0.45 | $0.60 |
| 100 hours | $45.00 | $60.00 |
| 1,000 hours | $450.00 | $600.00 |
What differs besides the rate?
The two are different shapes: AssemblyAI's is a streaming model built for voice agents, while Sume's request is a job with a 10-minute ceiling per request. Sume's duration_seconds (1 to 600) only improves the usage reservation; omitted, it reserves 1 minute.
How should I compare them for my workload?
Start from audio hours, apply each rate, then add what each shape forces on you: splitting long files into 10-minute pieces on Sume, or holding a socket open for live audio. Worked backlog math shows the pattern.
Sources
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