OpenAI Considers Token Price Cuts to Compete with Anthropic
OpenAI weighs token price cuts to win customers from Anthropic, WSJ reports.

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OpenAI is weighing token price cuts to win customers from Anthropic, the Wall Street Journal reports. The company expects Anthropic to make similar moves. At a recent event, CEO Sam Altman said costs have become "a huge issue" for businesses.
Anthropic's coding tool Claude Code recently went viral among developers, and the startup passed OpenAI in valuation for the first time. As AI agents get used more broadly in tools like these, usage costs have climbed, costs that were long covered by flat-rate subscriptions. Most providers have since shifted their enterprise pricing to usage-based billing.
In practice, that means the same AI workload that used to cost $200 a month can quickly balloon to several thousand or even tens of thousands of dollars. In this emerging token economy , some enterprise customers are already pulling back on AI spending. A price war could deepen the already billions-deep losses at both companies.
OpenAI confidentially filed IPO paperwork this week but likely won't go public until 2027 . Anthropic has also filed its paperwork and plans to list later this year. The potential price war between OpenAI and Anthropic highlights the growing importance of cost management in the AI industry.
As AI agents become more widespread, businesses are struggling to keep up with the rising costs. OpenAI's possible token price cuts and Anthropic's competitive pricing strategy could set a new standard for the industry. This shift could benefit businesses and developers who rely heavily on AI tools, but it also raises questions about the long-term sustainability of these companies' business models.
With both OpenAI and Anthropic planning to go public in the near future, their strategies will be closely watched by investors and industry experts. The outcome of this price war could have far-reaching implications for the AI industry, influencing how companies approach AI development and deployment.
Source: The Decoder