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OpenAI logo on a laptop screen, with Anthropic's Claude AI logo blurred in the background, symbolizing client migration.

Editorial illustration for OpenAI Discounts Poach Anthropic Clients; Rippling CEO Cites 90% Coding Share Shift

OpenAI's Discounts Lure Anthropic Clients Away

OpenAI Discounts Poach Anthropic Clients; Rippling CEO Cites 90% Coding Share Shift

• 4 min read

OpenAI is cutting prices deep enough to pull customers straight out of Anthropic's biggest accounts, and The Information reports it's working. Rippling, Replit, and DataCamp have all shifted meaningful chunks of their AI spending to OpenAI in recent months, lured by discounts that in some cases run as high as 90 percent. Replit signed on after OpenAI knocked more than 30 percent off a contract worth over $100 million a year. A US bank with more than $7 billion in assets had its ChatGPT seats doubled to 500 employees for free, bringing its per-user cost down to under $7 from the usual $20 or more.

Some of this is OpenAI eating its own margins to grab share. But the company has also pushed through real efficiency gains with its Sol and Luna model lines, lowering the actual cost of serving customers rather than just subsidizing them. Anthropic, meanwhile, saw its growth slow between the second and third quarters, according to an investor memo.

Both companies are also watching Chinese labs like Deepseek and Kimi undercut them on price for comparable performance. Rippling's CEO has put numbers on just how fast the split with Anthropic has moved.

Replit switched after OpenAI offered more than 30 percent off a contract worth over $100 million a year. DataCamp CEO Jonathan Cornelissen said OpenAI's pricing cut his costs by 80 to 90 percent. A US bank with more than $7 billion in assets got its ChatGPT seats doubled to 500 employees at no extra charge, paying under $7 per user instead of the usual $20 or more.

Why this matters

For anyone building on top of these models, pricing has become a bigger lever than benchmark scores. Rippling's swing from 57 to 18 percent on Anthropic, matched by OpenAI's jump to 52 percent, didn't happen because Claude got worse at coding. It happened because a 30 percent discount on a nine-figure contract changes the math for a CFO faster than any eval chart does. That's worth sitting with if you've been picking a model vendor based on capability alone: the contract terms your company negotiates today may matter more to your stack than which model wins next quarter's coding benchmark.

It also tells us something about where OpenAI thinks it's behind. You don't offer 90 percent discounts from a position of comfort. Anthropic built real loyalty among coding-heavy customers like Replit and DataCamp, and OpenAI is buying its way into that base rather than out-innovating it, at least for now. For founders locking in multi-year AI contracts, the lesson is simple: renegotiate annually, because the price you signed six months ago is probably not the price on the table today.

Common Questions Answered

What discounts is OpenAI offering to poach Anthropic clients?

OpenAI is offering discounts as high as 90 percent to lure customers away from Anthropic. For example, DataCamp CEO Jonathan Cornelissen reported that OpenAI's pricing cut his costs by 80 to 90 percent, while Replit received more than 30 percent off a contract worth over $100 million annually.

Which companies have shifted their AI spending from Anthropic to OpenAI?

Rippling, Replit, and DataCamp have all shifted meaningful portions of their AI spending to OpenAI in recent months due to the aggressive pricing discounts. These three companies represent some of Anthropic's biggest accounts that have been successfully poached by OpenAI's discount strategy.

How did OpenAI's pricing strategy affect Rippling's coding model usage?

Rippling shifted its coding share from 57 percent on Anthropic to 18 percent, while simultaneously increasing OpenAI's share to 52 percent. This dramatic shift was driven by OpenAI's aggressive pricing rather than any decline in Claude's coding capabilities, demonstrating that contract terms have become a more influential factor than model performance benchmarks.

What specific pricing example did a US bank receive from OpenAI?

A US bank with more than $7 billion in assets had its ChatGPT seats doubled to 500 employees at no extra charge, paying under $7 per user instead of the usual $20 or more. This represents a dramatic reduction in per-user costs while simultaneously expanding the number of licensed seats available to the organization.

Why does pricing matter more than benchmark scores for model selection?

For companies building on top of AI models, pricing has become a bigger lever than benchmark scores because contract terms directly impact a CFO's financial calculations. A 30 percent discount on a nine-figure contract changes the business math faster than any evaluation chart comparing model capabilities, making pricing a primary decision factor alongside or even above technical performance.

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