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Mercury: Ultra-fast language models based on diffusion

(arxiv.org)
566 points PaulHoule | 2 comments | 07 Jul 25 12:31 UTC | HN request time: 0.411s | source
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JimDabell ◴[07 Jul 25 13:53 UTC] No.44490396[source]▶
Pricing:

US$0.000001 per output token ($1/M tokens)

US$0.00000025 per input token ($0.25/M tokens)

https://platform.inceptionlabs.ai/docs#models

replies(1): >>44490656 #
asaddhamani ◴[07 Jul 25 14:20 UTC] No.44490656[source]▶
The pricing is a little on the higher side. Working on a performance-sensitive application, I tried Mercury and Groq (Llama 3.1 8b, Llama 4 Scout) and the performance was neck-and-neck but the pricing was way better for Groq.

But I'll be following diffusion models closely, and I hope we get some good open source ones soon. Excited about their potential.

replies(1): >>44492609 #
tripplyons ◴[07 Jul 25 17:25 UTC] No.44492609[source]▶
Good to know. I didn't realize how good the pricing is on Groq!
replies(2): >>44493536 #>>44497444 #
1. sexeriy237 ◴[08 Jul 25 05:48 UTC] No.44497444[source]▶
You're getting the savings by shifting the pollution of the datacenter onto a largely black community and choking them out.
replies(1): >>44498135 #
2. JimDabell ◴[08 Jul 25 08:23 UTC] No.44498135[source]▶
Are you confusing the AI company Groq with xAI, Elon Musk’s AI company that has a model called Grok?