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China Moonshot AIwhich is backed by companies such as Alibaba and Hongshan (formerly Sekiwa China), today released a new open source model, Kimi K2.5, that understands text, image and video.
The model was trained on 15 trillion mixed visual and text symbols, which is why it is inherently multimedia, the company said. She added that the models are good at coding tasks and dealing with swarms of clients
– A format where multiple agents work together. In released benchmarks, the model matches and even outperforms its proprietary peers on certain tasks.
For example, in the programming benchmark, the Kimi K2.5 outperforms the Gemini 3 Pro in the SWE-Bench Verified benchmark, and scores higher than the GPT 5.2 and Gemini 3 Pro in the SWE-Bench Multilingual benchmark. In video understanding, it outperforms GPT 5.2 and Claude Opus 4.5 in VideoMMMU (Video Multidisciplinary Multimedia Understanding), a benchmark that measures how a model thinks about videos.
On the coding front, while the model can understand text well, users can also feed it images or videos and ask it to create a similar interface that appears in those media files, Moonshot AI said.
To allow people to use these coding capabilities, the company launched an open source coding tool called Kimi Code, which would compete with Anthropic’s Claude Code or Google’s Gemini CLI. Developers can use Kimi Code through their terminals or integrate it with development software such as VSCode, Cursor, and Zed. The startup said that developers can use images and videos as input with Kimi Code.
Programming tools have quickly gained popularity and have become revenue engines for AI labs. Anthropic announced in November that CloudCode had reached $1 billion in annual recurring revenue (ARR). Earlier this month, Wired By the end of 2025, the utility has added $100 million to that number, it said. Moonshot’s Chinese competitor, Deepseek, is set to launch a new model with powerful coding hardware next month, according to a report by Information.
Moonshot was founded by a former Google and Meta AI researcher Yang Qilin. The company raised $1 billion in funding Series B round at $2.5 billion valuation. according to BloombergThe startup secured $500 million in funding last month at a valuation of $4.3 billion. Furthermore, the report indicated that it is already seeking to raise a new round at a valuation of $5 billion.