OpenAI Is Using Discounts to Poach Anthropic's Customers — but the Winner Isn't Necessarily the One Cutting Prices

For the first time, frontier-model competition is being fought not in benchmark scores but in invoice amounts. According to The Decoder, citing The Information’s October 24 reporting, OpenAI is using aggressive enterprise discounts to take customers from Anthropic — and it is working. The three named customers tell different versions of the same story: price is becoming the deciding variable in choosing a model.
Three customers, three kinds of discount
Rippling is a share flip. The HR software company says that in May, Anthropic models handled 57% of the coding work of its hundreds of engineers, with OpenAI at 16%; today OpenAI is at 52% and Anthropic has fallen to 18%. CEO Parker Conrad’s explanation was direct: to save money — and OpenAI is cheaper.
Replit is a contract fight. The reporting says OpenAI offered a discount of more than 30% on a contract worth over $100 million a year, while Anthropic declined to extend its previous discount unless Replit increased its total spending. Replit CEO Amjad Masad said on stage on October 16 that the company was no longer working with Anthropic, then clarified that Replit remains model-neutral and OpenAI is merely its “preferred partner.” The wobble itself is worth noting: even in a “winner” narrative, the parties involved are unwilling to state it flatly.
DataCamp is a halved bill. CEO Jonathan Cornelissen says OpenAI’s pricing cut the company’s costs by 80% to 90%; a separate account puts DataCamp’s Codex discount at 40%. The two are not contradictory — the first is the total cost change after switching, the second is the contract discount itself, with the new models’ own lower unit prices in between. Separately, a US bank with more than $7 billion in assets reportedly doubled its ChatGPT seats to 500 at no additional cost, bringing per-user cost from over $20 down to under $7.
Put the numbers together, and the headline figure of “up to 90%” needs discounting of its own: it is not a uniform price cut, but customer-reported post-switch cost declines that mix negotiated discounts with the lower token prices of newer models. The original reporting sits behind a paywall, and no independent cost audit exists in public channels. The honest way to cite these figures is to state their sourcing limits alongside them.
What is OpenAI buying: share, or time?
The Decoder’s judgment is that OpenAI is, to a degree, trading margin for market share. That is only half right. The reporting also notes that OpenAI achieved genuine cost reductions through more efficient model lines such as Sol and Luna — meaning its price cuts are not all subsidy; part of them is an efficiency dividend. That makes this price war harder to assess than a simple “burning cash for customers” story: if the cuts come from an improved cost structure, they are sustainable; if they come from contract subsidies, they have an expiration date.
Anthropic’s side of the ledger carries an additional timing pressure. According to an investor memo cited in the reporting, Anthropic’s growth slowed from the second quarter to the third, and the company is approaching an IPO. Losing a few marquee customers at this moment hurts more than revenue — it hurts the narrative. The story an IPO roadshow fears most is “the most loyal enterprise customers are being poached by a cheaper rival.” Meanwhile, DeepSeek and Kimi and other Chinese models offer comparable performance at far lower prices, pressing the entire industry’s pricing anchor from the other side.
The real shift: models are becoming commodities
The most important thing to write about this price war is not which company wins, but what it reveals about how buyers have changed. When three companies can switch their primary model within weeks and see costs fall 80 to 90%, it means that for a large share of everyday coding work, the differences between models are already small enough for price to cover them. The moat is no longer “the model itself” but switching costs, integration depth, and service quality — precisely the three things discounting shakes loose.
That is good news for buyers, with one warning attached: customers won on price will leave on price. Companies signing discounted contracts should judge not the first-year bill but post-switch task completion rates, quality, and upgrade rates. If a discount arrives with a quality slide, the savings get spent on rework. Likewise, for Anthropic, the right response to a price war is not necessarily to match the cuts — on the eve of an IPO, the margin story and the growth story are both fragile, and matching discounts could damage both. Defending the high-value customers who are sensitive to model quality and unlikely to switch may be the cheaper defense.
What to watch next
Three things will decide where this price war goes. First, the renewal price. When first-year discounts expire, whether customers renew at list price or renegotiate from a lower anchor will reveal OpenAI’s real intent. Second, Anthropic’s IPO narrative. If it can articulate its differentiation — quality, safety, enterprise-grade service — share fluctuations will read as noise; if it cannot, every customer loss will be amplified. Third, the true slope of the cost curve. Whether Sol- and Luna-style efficiency gains continue will determine whether this discounting is the start of a new equilibrium or a one-off purchase of market share.
Price wars never lack openings. What they lack is a graceful ending. OpenAI has won the customer list for now, but it has also sent a signal to the entire market: frontier model pricing is negotiable — and by a lot. Once every buyer has heard that signal, the starting point for the next round of negotiations will never go back to where it was.
Sources: The Decoder — “OpenAI offers discounts up to 90 percent to poach Anthropic’s biggest customers” (Oct 25, 2026, citing The Information’s Oct 24 reporting); Golden Era roundup; ExplainX’s “claimed vs. verified” check. Note: the discount figures come from customer executives’ statements and secondhand citation, and have not been independently audited; Anthropic did not comment on these figures in the reporting; Replit’s partnership status is described differently in different accounts, and both versions are presented above.









