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a16z says Vals AI CEO estimated roughly $1.5 million in tokens from a month of unlimited coding-tool access

a16z says CEO Rayan Krishnan found Cognition's Devin "very token-efficient" and chose to adopt more of it. He also said subscriptions can offer better pricing than token-based plans.

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1 Source, 23d ago, first seen 23d ago

TLDR

a16z describes a Vals AI experiment in which CEO Rayan Krishnan secured unlimited access to some coding tools for a month. Krishnan said many engineers used one to two billion tokens a day. He estimated the month's usage at roughly $1.5 million worth of tokens—10 times employee salaries for that month—and said that approach could not continue. He credited the experiment with informing the company's tool choices, citing greater adoption of Cognition's Devin for its reported token efficiency and opportunities for better pricing through subscriptions.

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1 Source, first seen 23d ago

69 likes13 comments27 saves7 reposts

Combined views

33K

1 Source, first seen 23d ago

69 likes13 comments27 saves7 reposts

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1 Source

@a16zVals AI CEO Rayan Krishnan on the unlimited tokens experiment that revealed an anxious obligation for engineers to use models all the time, everywhere: "I wanted to do a tokenmaxxing experiment. I was able to get unlimited access for our team for a month for some of the coding tools. We had a lot of engineers spending between one to two billion tokens a day." "I went back and did some math, and it looked like in that month, we spent roughly $1.5 million worth of tokens... It was actually 10x more we were spending in tokens than employee salary for that month." "We cannot continue with this mode of operation for the next month. How do we intelligently figure out what are the right tools we should use, for what teams, and what projects?" "We found some pretty surprising insights. The Cognition Devin tool is actually very token-efficient, and so that's a place we've chosen to adopt more." "There are a lot of places where you can get better pricing models out of subscriptions as opposed to token-based pricing." "It's actually informed our strategy for how we can effectively tokenmaxx without spending $1.5 million per month." @RayanKrishnan @JenniferHli23d
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    1 Source

    @a16zVals AI CEO Rayan Krishnan on the unlimited tokens experiment that revealed an anxious obligation for engineers to use models all the time, everywhere: "I wanted to do a tokenmaxxing experiment. I was able to get unlimited access for our team for a month for some of the coding tools. We had a lot of engineers spending between one to two billion tokens a day." "I went back and did some math, and it looked like in that month, we spent roughly $1.5 million worth of tokens... It was actually 10x more we were spending in tokens than employee salary for that month." "We cannot continue with this mode of operation for the next month. How do we intelligently figure out what are the right tools we should use, for what teams, and what projects?" "We found some pretty surprising insights. The Cognition Devin tool is actually very token-efficient, and so that's a place we've chosen to adopt more." "There are a lot of places where you can get better pricing models out of subscriptions as opposed to token-based pricing." "It's actually informed our strategy for how we can effectively tokenmaxx without spending $1.5 million per month." @RayanKrishnan @JenniferHli23d
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