AI Model Prices Are Falling At The Worst Moment For The US Frontier Labs

Anthropic and OpenAI have been raising and spending vast amounts of cash to build the world’s most powerful AI models, assuming that owning the frontier will generate a massive return.

But just as their IPO window is opening, the competition is releasing new, competitive models at a fraction of the cost, setting the stage for an AI price war at the worst possible time.

Meta, SpaceX, Moonshot Challenge Frontier AI Pricing

In just the past eight days, Meta, SpaceX and Moonshot, a competitor in China, have all released new models at price points that suggest frontier intelligence is going to look more like a commodity than a premium-priced asset.

Meta’s Muse Spark 1.1, released last week, is competitive with Anthropic’s Opus 4.8 model on some benchmarks at a fraction of the price. SpaceX’s Grok 4.5, released on Thursday, is less than half the price of Opus 4.8 and competitive on coding benchmarks. And Moonshot’s newly released Kimi K3, a massive 2.8-trillion-parameter model, is poised to go open-weight and potentially undercut the US labs’ pricing power, though its size makes it expensive to run.

“A world where there are only 2-3 dominant frontier labs with 90% inference margins is net negative for every other layer while being awesome for those 2-3 labs,” Gavin Baker, managing partner at Atreides Management, said on Friday. “Anything that lowers margins and increases competition at the model layer is good for every other AI layer: power, semiconductors, hyperscalers, neoclouds and yes even software.”

Increasingly, it’s looking like there may eventually be six or more frontier AI developers instead of two or three, and that could cut the model margins dramatically. The real value in AI, therefore, will be built on developing the best products sitting on top of those models.

As Model Margins Shrink, AI Products Become the Prize

The good news for Anthropic and OpenAI is that they are already developing the world’s best AI products, alongside the best models, and those products are lucrative. A year ago, for instance, Anthropic’s business was mostly API, but now there’s a strong mix of API and its own products.

“Products play a much bigger role for Anthropic than they did a year ago,” Boris Cherny, the head of Claude Code, told me in a May interview. “That’s definitely the case.”

The bad news for the labs, however, is that instead of competing with a narrow band of companies to develop top-tier AI models and profit, they’ll now compete with everyone on the product front. And that could be daunting as they lose money developing models and watch their margins compress.

There is a certain irony to what’s happening in AI today. For a long time, there was a question of whether any product built on top of an AI model could be valuable or would simply be a "wrapper" that would inevitably be swallowed by the model itself. Now, it turns out, the wrapper may be the value layer.