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Meta internal "Claudeonomics" ranking revealed, 85k employees burn through 60 trillion tokens in 30 days
ME News update, April 7 (UTC+8). On Meta’s internal network, an AI usage leaderboard called “Claudeonomics,” named after Anthropic’s flagship product Claude, appeared. It was built by employees using company data, compiling token consumption for more than 85,000 people and listing the top 250. A copy of the leaderboard seen by The Information shows that in the last 30 days, total consumption surpassed 60 trillion tokens. Roughly estimated using Claude Opus 4.6’s publicly stated average price (about $15 per million tokens), it comes to about $900 million, but Meta’s actual model mix and protocol pricing are unknown. The top-ranked individual user’s average consumption is 281.0 billion tokens, and the cost could be as high as several million dollars.
The leaderboard includes gamified incentives, stepping up from bronze to jade, with the highest titles including “Token Legend” and “Session Immortal,” as well as “Model Connoisseur” and “Cache Wizard.” Some employees, to push their rankings higher, have their AI agents run research tasks continuously for hours—purely driving up usage. Neither Meta CEO Zuckerberg nor CTO Andrew Bosworth made it into the top 250.
A recent craze of “tokenmaxxing” has taken off in Silicon Valley, and token consumption is becoming a new metric for measuring engineers’ productivity. Bosworth said at a technical conference this February that the token spending of a top engineer is already comparable to their salary, with productivity improvements as high as 10x—“this is a no-brainer deal, keep burning, no limit.” Last month, Nvidia CEO Jensen Huang said that if an engineer earning a $500,000 annual salary doesn’t consume less than $250,000 worth of tokens each year, he would be “deeply on alert.”
Meta engineers currently use external models from Anthropic, OpenAI, and Google at the same time, as well as internal tools MyClaw (Meta’s version of OpenClaw) and the recently acquired Manus. This year, Zuckerberg in an internal memo made a “bold request” to the engineering team: rewrite Meta’s codebase so that AI agents can directly understand and modify the code. (Source: Meta)