Kimi launches open-source flagship model K3.1 Pro: 2.8T parameters, 1 million-token context window; tested on 3D rendering and video motion effects.
Moonshot AI launches flagship model Kimi K3.1 Pro with 2.8T parameters and support for a 1 million-token context window; full model weights are expected to be released before November 4. API pricing is 13 yuan per million tokens for input and 68 yuan for output, roughly half the rate of K3. A Highspeed version with twice the price but two to three times faster output speed is also launched simultaneously.
Kimi K3.1 Pro can read a million tokens. How do you test it on real documents?
A collected summary says Kimi K3.1 Pro supports a context of one million tokens. When testing long documents, keep the expected answers, source references and document versions so you can check both retrieval and understanding.
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