The interesting number in Fortune’s reporting isn’t the leaderboard win, it’s the invoice. Coinbase’s Brian Armstrong reportedly told the outlet his company halved its AI spending by pushing employees onto Moonshot’s Kimi and Z.ai’s GLM models. DoorDash’s CTO Andy Fang said the company hands what he calls “lower-level work” to Kimi and gets “better quality [at] cheaper cost.” Airbnb’s Brian Chesky has previously said the same about running customer service on Alibaba’s Qwen. When operators at that scale start talking in ratios rather than pilots, the story stops being about a model demo and starts being about pricing power. The pricing gap is the reason. Fortune reports that one million output tokens from Anthropic’s Fable cost about $50; the same million from DeepSeek-V4-Pro cost roughly $0.87, and from Z.ai’s GLM-5.2, $4.40. Moonshot’s Kimi K3, released July 16 and described in the piece as the largest open-source model ever released, sits at $15. On OpenRouter, Chinese models grabbed 57% of tokens used by US firms in one July week, with six of the top ten and all of the top five coming from Chinese labs including Tencent, Xiaomi, DeepSeek, MiniMax, Moonshot and Z.ai. Nvidia lost almost $600 billion in value after the K3 release and briefly lost its spot as the world’s most valuable company to Apple. submitted by /u/Justgototheeffinmoon
Originally posted by u/Justgototheeffinmoon on r/ArtificialInteligence
You must log in or # to comment.