Moonshot AI Launches Kimi Chat, Supporting Input of 200,000 Chinese Characters


Moonshot AI has been reported to have submitted a confidential A1 listing application to the Hong Kong Stock Exchange, fully launching its HK IPO. The company has not commented on the report. The A1 is the official filing document for main board listing, and the company is simultaneously advancing other capital operations.
Moonshot AI's product Kimi has closed a Series F funding round exceeding $3.5 billion, with a post-money valuation of $35 billion. The round was oversubscribed by over three times, leading to an early close and the launch of a Series G (Pre-IPO) round at a pre-money valuation of $50 billion. Kimi's strong market validation, driven by practical features like long-context processing, and the massive fundraising reflect high investor enthusiasm for ....
The main battlefield of large model services is shifting toward retrieval-augmented question answering, multi-document summarization, and long-range agents. The request prompt is composed of dozens to hundreds of semantically independent segments (retrieved documents, skills explanations, memory, historical rounds), forming ultra-long context with tens of thousands to hundreds of thousands of tokens. The pre-filling stage dominates the computing costs, becoming the most prominent cost source for service providers, and triggering more challenging problems.
The well-known AI startup "Moonshot AI" is seeking another round of financing, targeting $2 billion. If successful, its valuation could reach $30 billion, a sevenfold increase from last December. The company has developed the chatbot Kimi and is in discussions with potential investors, expecting to raise at least $1 billion.
Moonshot AI officially announced that the API for the Kimi K2 series model will cease maintenance on May 25th. Users are required to migrate to the latest model, kimi-k2.6, to obtain ongoing support and enhanced multimodal capabilities. The K2 series includes multiple versions, which were renowned for their trillions of parameters since their release in July of last year and have now reached the end of their lifecycle.