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Chutes says its platform now generates approximately $280,000 in revenue for every trillion tokens served, highlighting continued improvements in monetization efficiency across its decentralized AI inference network.
In a post published Monday, the team said revenue generated per unit of AI work has increased steadily over the past year despite reductions in available compute and model inventory.
"A year ago we earned almost nothing per token we served," the team wrote. "Today the platform earns around $280K for every trillion tokens that move through it."
The metric measures how much revenue Chutes generates relative to the amount of inference activity occurring on the platform. According to the team, the figure has continued rising as Chutes removes underperforming models, optimizes infrastructure, and focuses compute resources on higher-value workloads.
The announcement builds on themes discussed in a recent Chutes roadmap update, where core contributor Jon Durbin argued that revenue per token had become a more important metric than raw token throughput.
Bart Hillerich
Chutes operates Bittensor Subnet 64 and is the network's largest AI inference platform, serving open-source models through decentralized compute infrastructure. The subnet has become one of Bittensor's most widely used applications, processing hundreds of billions of AI tokens and helping bring external demand onto the network.
As Chutes continues to scale, the team has increasingly emphasized building a business that converts inference demand into durable value creation for the broader TAO ecosystem.
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