OpenAI eyes drastic price cuts to fend off Anthropic ahead of IPO
OpenAI is weighing significant cuts to the token prices it charges businesses for API access, according to the Wall Street Journal. The move is a direct response to Anthropic, which is expected to lower its own rates. Both companies filed confidential IPO applications with the SEC in June 2026 — and a price war starting right now could complicate the financial picture for investors at the worst possible time.
The pressure behind the cuts
Sam Altman has already conceded the problem publicly. AI costs have become "a huge issue" for corporate clients, he said, adding that OpenAI would find ways to deliver more value for less money. That admission matters: large companies are already pulling back on AI integration, with some concluding that keeping human staff is cheaper than replacing them with AI tools, per CNBC.
Anthropic recently rewired its own enterprise pricing — moving from flat per-seat fees of up to $200 per user to a hybrid model of $20 per seat plus consumption commitments. That shift makes monthly bills harder to predict, which is exactly the kind of uncertainty that pushes budget-conscious IT teams toward alternatives.
A valuation problem, not just a pricing one
The competitive backdrop is awkward for OpenAI. Anthropic closed a Series H round in late May 2026 at a $965 billion valuation, surpassing OpenAI's March 2026 valuation of $852 billion. For a company that's burning cash at a far higher rate than its rival, leading on price looks less like market confidence and more like an admission that it needs to fight harder to hold on to enterprise accounts.
Token discounts on the API are where the real margin pressure lives. ChatGPT Plus has held at $20 a month for years despite meaningful capability improvements — a de facto discount consumers already enjoy. Enterprise API pricing is different: it's negotiated, volume-dependent, and directly tied to how profitable OpenAI looks on paper ahead of a public listing.
What happens next
No new pricing has been formally announced. Internal discussions are ongoing, and the exact scale of any cuts remains unclear. For businesses already using OpenAI's API, lower token costs would reduce the cost of running AI-powered features — a genuine win if the cuts materialize. For investors watching the IPO roadshow, cheaper tokens means thinner margins, at least in the short term. The balancing act between keeping enterprise clients and convincing public markets the business is sustainable is one OpenAI has yet to solve.
