Kimi does not have the fate of DeepSeek

From hype to survival

Kimi (奇米) looked, for a while in 2024, like another Chinese AI flash in the pan — big fundraising, breathless media, and a headline-grabbing “2 million–word” training claim. It has been reported that that early experimental model was expensive to run and never production-ready. By mid‑2025 many peers had already been written off after failing to reproduce the “deep thinking” breakthroughs that made DeepSeek a domestic poster child for Chinese AI. Kimi’s trajectory could easily have followed the same arc. Instead it diverged.

The Agent pivot and technical wins

Kimi’s bet was simple: the industry’s value was shifting from chatty LLMs to tool‑using, code‑capable agents. The company quietly released K2 in July 2025, pitching “Open Agentic Intelligence” and open‑sourcing core pieces. The model drew rapid attention — Nature described it as “another DeepSeek moment,” and Anthropic co‑founder Jack Clark said K2’s coding and tool‑calling scores made it likely to see real adoption. It has been reported that Kimi’s subsequent K2.5 and a new Attention Residuals architecture won praise from several high‑profile researchers and were showcased on Nvidia’s GTC stage; those moves helped Kimi secure a reported $500 million follow‑on round from long‑time backers including IDG.

Cursor controversy and geopolitics

This spring’s controversy over Cursor — the popular coding assistant — underscored why the pivot mattered. It has been reported that Cursor shipped a new generation model built on Kimi K2.5 without attribution, prompting a public apology and a technical disclosure; Kimi said the company licensed K2.5 through an inference partner, Fireworks AI. The episode also highlighted a larger geopolitical risk: many Western and Chinese AI firms are scrambling to reduce dependency on a handful of U.S. model providers as export controls and supply‑chain “chokepoints” become strategic vulnerabilities. Companies want independence; funding and partnerships now reward those who can deliver agentic, tool‑first models at scale.

What it means for China’s AI ecosystem

Kimi’s story is less about one firm surviving and more about a paradigm shift. The market has moved from “which model chats best?” to “which model can write, call tools, and orchestrate workflows?” For Chinese startups and investors, the lesson is clear: replication of flashy “deep thought” models is risky, whereas open, agent‑oriented platforms that demonstrate real end‑user value — and can be industrialized — stand a better chance of enduring. Will others follow Kimi’s route from hype to hard product? Time will tell, but the industry’s preferences have already changed.