Marc Benioff says artificial intelligence pricing is collapsing at an unprecedented pace, as leading models race toward near-zero costs per million tokens.
In a new post on X, the Salesforce CEO points to dramatic price declines across the AI ecosystem, framing the shift as a structural reset rather than normal competition.
Citing data from JPMorgan Asset Management, Benioff highlights how quickly costs have fallen from the early days of large language models, contrasting today’s prices with what developers were paying just two years ago.
“GPT-4 in 2023: $37.50!”
He says newer models now operate at a fraction of that cost, with prices measured in cents rather than dollars.
“AI is on a wicked race to the bottom!
Grok 4: $0.28/million tokens. Gemini 3 Flash: $0.50/million tokens. Gemini 2.5 Flash: $0.30/million tokens. Gemini 2.5 Flash-Lite: $0.10/million tokens.”
According to Benioff, the collapse in pricing signals a fundamental change in how AI intelligence is produced and consumed, as efficiency gains and competition drive costs sharply lower.
“Look out below, and let’s go!”
His comments come as enterprises and developers increasingly treat AI intelligence as a commodity input, with falling prices accelerating adoption and reshaping the economics of software, services and automation.
The data runs counter to the claim of “Big Short” investor Michael Burry, who said that LLMs are spending “tens of dollars” to answer a query. JPMorgan’s data shows that while Burry’s estimates may have been true two years ago, they no longer hold water. A typical response might use 1,000 to 5,000 tokens, costing far less than a dollar.
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