OpenAI frontier models and Codex are now available on AWS
1–10 of 158 posts
Re: OpenAI frontier models and Codex are now available on AWS
#2More expensive than directly sourcing from OpenAI
Re: OpenAI frontier models and Codex are now available on AWS
#3[flagged]
Re: OpenAI frontier models and Codex are now available on AWS
#4More expensive than directly sourcing from OpenAI
It's for people that can easily pump their AWS bill but not a new vendor.
Re: OpenAI frontier models and Codex are now available on AWS
#5[flagged]
Wish I could fail hard enough to have a (nearly) $1T startup with some of both the smartest models and smartest people.
Re: OpenAI frontier models and Codex are now available on AWS
#6As usual the more options the better for everyone. While this is not a direct replacement it is good that it exists.
Re: OpenAI frontier models and Codex are now available on AWS
#7[flagged]
Care to elaborate how OpenAI is failing in your opinion?
Re: OpenAI frontier models and Codex are now available on AWS
#8If you are wondering why anyone would spend more money to use these APIs through AWS instead of going direct: In some companies it’s nearly impossible to get new vendors approved. If the company has an AWS contract then you have to use what AWS offers.
Re: OpenAI frontier models and Codex are now available on AWS
#9More expensive than directly sourcing from OpenAI
The AWS pricing page says 10% more than OpenAI, which is probably because they’re forcing all inference through the US and data residency is at a 10% premium from the model vendors for whatever reason (because you’ll pay for it).
If they put in a global endpoint like with Claude (or OpenAI directly) then it’ll probably match the direct pricing, if the pattern holds.
(https://aws.amazon.com/bedrock/pricing/, scroll to OpenAI)
Re: OpenAI frontier models and Codex are now available on AWS
#10If you've used AI coding models in a large corporate setting, you'll know that a lot of big corporate deployments basically require using AWS Bedrock for two simple reasons:
1. Large companies tend to already have an existing relationship with AWS, which makes things way easier to go through vs. setting up a new vendor relationship 2. Large companies tend to have strong internal requirements about making sure that internal data stays under company control. With AWS Bedrock, you can be a lot more confident that what you're feeding into the models is not going to end up in someone's training set somewhere. For where I work, this requirement is a dealbreaker for going directly through OpenAI's API instead of going through AWS Bedrock.