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Zhipu<\/a>‘s GLM 5.2 artificial intelligence<\/a> model landed last week with the kind of Silicon Valley buzz that followed DeepSeek<\/a>‘s launch last year.<\/p>\n The Chinese AI startup<\/a>‘s new open source model has blown past every other open release and now sits within a percentage point<\/a> of Anthropic<\/a>‘s Opus 4.8 on one closely watched agentic benchmark, at roughly a fifth of the cost.<\/p>\n Developers are piling in, with OpenRouter token traffic climbing faster<\/a> than it did after DeepSeek’s V4 launch in April. And unlike DeepSeek, which the market eventually dismissed as a one-off chatbot shock, GLM 5.2 is strong at agentic work like planning, coding, testing, and looping, the kind of work that enterprises are racing to automate.<\/p>\n Companies hit by unexpectedly high AI spend<\/a> on tokens, the measure of the data processed and generated by AI models, are now asking how to get the most for their money. <\/p>\n The most important metric is becoming intelligence per dollar, making Zhipu’s cheap-but-good-enough model an attractive answer.\u00a0<\/p>\n “I’ve been consistently surprised by how quickly the open source has caught up,” Gabe Pereyra<\/a>, co-founder of Harvey, told CNBC. “GLM 5.2, you’re seeing the first model where it’s really competitive with some of these closed-source frontier models.”<\/p>\n But the real story underneath the price tag is the open source AI moment. <\/p>\n GLM 5.2 is free to download, fine-tune, and run on an enterprise’s own servers, putting pricing pressure on frontier labs at the same time that access looks shaky. Anthropic had to pull its Fable Mythos-class model<\/a> after an order by the Trump administration, and OpenAI announced Friday that it is limiting its GPT 5.6 models<\/a> because of a government request. <\/p>\n The federal oversight has made a model that no one can revoke increasingly look like the safer bet.<\/p>\n