Key AI Token Price Gauge Slips to Record Low
A key measure of AI token prices hit a record low this week as competition intensifies, squeezing AI model providers.
The LLM Token Expenditure Index, a key gauge of daily prices from intelligence firm Silicon Data, fell to 97 cents on Monday, marking its lowest reading since its creation late last year and more than halving from the high recorded earlier this summer. The index tracks the going market rate for a large-language model token.
A sharp slide in prices can mean AI model users will need to spend less to run inquiries on popular chatbots like OpenAI's ChatGPT, Anthropic's Claude or Google's Gemini. But it can be bad news for the companies behind the models, as a lower index price can condition consumers to expect lower rates for access, reducing providers' pricing power.
The recent drop is driven in part by the rise of open-source Chinese models such as Moonshot's Kimi K3, which can fetch lower prices than alternatives from leading frontier labs, according to a Tuesday post from Charles-Henry Monchau, investing chief at Syz Group. CNBC reported that OpenAI announced price cuts for two of its GPT-5.6 AI models in late July, while Monchau said other frontier labs have rolled out offerings with "dynamic pricing" capabilities that can allow access rates to rise and fall with demand, putting more downward pressure on the market rate for tokens.
"Foundation model labs are the most directly exposed," Monchau wrote. "Token deflation compresses the revenue line while compute commitments stay fixed. The strategic response is visible: the moat must shift away from raw model capability — where the open-weight gap is now measured in months — toward distribution, memory and context." He also said decreasing costs across the industry for producing a token have contributed to lower index prices.
The index's slide could put new profit pressures on AI leaders like Anthropic and OpenAI as they contemplate when and if to enter the public market. Both companies confidentially filed for initial public offerings with regulators this summer, according to CNBC. Investors may also need to adjust their outlooks around the potential return on invested capital in the AI buildout as token prices slide, as megacap technology companies including Nvidia and Microsoft have poured billions of dollars into expanding their AI capabilities.
Technology stocks led the broader market down on Tuesday, with the technology-heavy Nasdaq Composite sliding nearly 1% and the broader S&P 500 ticking down 0.4%.