Deepgram Whisper Cloud: 3X Faster and 20% Cheaper Than OpenAI’s(deepgram.com)
deepgram.com
Deepgram Whisper Cloud: 3X Faster and 20% Cheaper Than OpenAI’s
https://deepgram.com/learn/improved-whisper-api
3 comments
> Use of Deepgram Whisper Cloud is subject to a rate limit of 50 requests per minute or 15 concurrent requests.
> Which is a bit disappointing. I've run into whisper rate limits.
The rate limit for Deepgram's Nova speech-to-text model is 100 concurrent requests on the pay as you go plan. They claim it's more accurate than their Whisper model but I'm trying out both.
The rate limit for Deepgram's Nova speech-to-text model is 100 concurrent requests on the pay as you go plan. They claim it's more accurate than their Whisper model but I'm trying out both.
Do we know that the concurrency limit is for their Enterprise tier?
I wondered what the rate limits are, looks like:
> Use of Deepgram Whisper Cloud is subject to a rate limit of 50 requests per minute or 15 concurrent requests.
Which is a bit disappointing. I've run into whisper rate limits. That said, Deepgram should be better still because it doesn't have the 25 MB file size limit (2 GB instead).
I feel like OpenAI's Whisper API effort is a bit disappointing - it seems like a half-hearted effort. The problem with a half-hearted effort from the dominant brand is that many/most companies will still choose the half-hearted effort from the brand they know and love, which makes it harder for alternatives to get customers for a better offering, and so customers generally end up worse off.
I think the two good options for OpenAI regarding Whisper API would be either:
1) Offer a Whisper API, and make it really good - lots of iteration, feature additions, service improvements
or 2) Don't offer a Whisper API, tell the public you won't offer one, and encourage other companies to do so, and link out to them / refer users to those other companies
Instead, they're doing 3 - half-hearted effort, which hinders overall offering quality. They could improve on their half-hearted effort either by treating it like an important product, or by pointing users to other companies for when they need more production-level features with Whisper (like they do where they point users to Pinecone and Weaviate).