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  4. Story4 reports · 2 facts

    Moonshot AI releases flagship model Kimi K3

    On July 16, 2026, Moonshot AI released its flagship model Kimi K3, a 2.8-trillion-parameter multimodal model with a 1M-token context window and native vision capabilities, built on a MoE architecture that activates 16 of 896 experts per token. According to a Recode China AI report, K3 scored 1,679 points on the Frontend Code Arena, is priced at $3 per million input tokens and $15 per million output tokens, and open weights are scheduled to be made available on July 27. On July 27, Kimi.ai announced that Modal and Baseten had become Day 0 launch partners for K3; Modal trained a custom DFlash speculator for the K3 architecture, raising interactive speed from 100 to 460 tokens/s; on the same day, SGLang and Miles announced Day-0 support, with the former handling inference and the latter handling RL training. On July 28, Kimi.ai announced that K3 went live on DigitalOcean Serverless Inference. On July 29, Unsloth released a 1-bit quantized GGUF version of Kimi K3, shrinking its size from 1.56TB to 594GB, a 62% reduction, while retaining about 78.9% of accuracy, and it can run on a Mac Studio with 128GB of memory.

    On July 16, 2026, Moonshot AI released its flagship model Kimi K3, a 2.8-trillion-parameter multimodal model with a 1M-token context window and native vision capabilities, built on a MoE architecture that activates 16 of 896 experts per token. According to a Recode China AI report, K3 scored 1,679 points on the Frontend Code Arena, is priced at $3 per million input tokens and $15 per million output tokens, and open weights are scheduled to be made available on July 27. On July 27, Kimi.ai announ

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