OpenAI is updating its subscription plans to add a “Team” tier for businesses to sit below its existing Enterprise level.
The plan comes in at $30 per user per month – $25 for customers able to make an annual commitment – and is comparable to the $20 per month Plus tier in the personal pricing subscriptions.
As well as higher message caps on GPT-4 and tools like DALL-E, the Team tier incorporates that all-important enterprise function: “No training on your data,” as OpenAI puts it.
“Our models don’t learn from your usage,” the company says.
$30 per month per user is still expensive, even if it is some way below Enterprise pricing. While OpenAI does not publish Enterprise pricing, a look on the ChatGPT forums puts it around $60 per user per month, with a minimum of 150 users on a 12-month contract.
The hope is that while a small or medium-sized business might balk at enterprise pricing, the Team tier provides an entry point less likely to send the accounting team scurrying for the hills.
Other benefits in the Team tier include a dedicated workspace in which GPTs can be shared, unified billing, and SOC 2 Type 1 compliance. The latter is an important tick box for businesses concerned about the safety of sensitive data.
The Team plan starts with two users. At least 150 are needed for the Enterprise tier.
At first glance, the plan appears good value for money – certainly when compared to the Enterprise tier – but it is also a reminder that all the productivity benefits AI evangelists proclaim come at a price. Microsoft 365 Copilot was recently made generally available for Microsoft 365 E3 and E5 subscribers for an additional $30 per user per month, with an annual commitment. The Windows giant also required at least 300 seats for the privilege.
Though OpenAI has at least recognized that not all organizations have the number of users or depth of pockets needed for Enterprise pricing, spending another $30 per user per month could still be a step too far for customers, even with the promise that the company won’t slurp their data for its training purposes. Subscription fatigue anyone? ®
