BREAKING: China's Kimi K3 Just Dropped a 2.8 Trillion Parameter Open AI Model

· Source: AIM Network · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Expert, quick

Summary

Moonshot AI has released Kimi K3, an open-weight model featuring 2.8 trillion parameters and a 1-million-token context window, making it the world's first open 3T-class model. Utilizing a Mixture-of-Experts architecture with 896 experts (16 active per token), Kimi K3 reportedly surpasses GPT 5.5 and Claude Opus 4.8 on various benchmarks. The model incorporates a Stable Latent MoE framework and a custom Kimi Delta Attention architecture, demonstrating 2.5x better scaling than its predecessor, Kimi K2. It also includes native vision support and is accompanied by new Kimi Work and Kimi Code tools. A full-weight release is scheduled for July 27, 2026, impacting the open-source AI landscape.

Key takeaway

For AI Scientists and Machine Learning Engineers evaluating large language models, Kimi K3's 2.8 trillion parameters and 1-million-token context window offer significant open-source advancement. You should consider its reported performance against proprietary models like GPT 5.5 and Claude Opus 4.8 for demanding benchmarks. Integrate its Stable Latent MoE and Kimi Delta Attention insights into your architecture research. Prepare for the full-weight release on July 27, 2026, to utilize its full capabilities.

Key insights

Kimi K3 introduces a 2.8T-parameter open MoE model with a 1M-token context, setting a new scale benchmark.

Principles

Method

The model employs a Stable Latent MoE framework with 896 experts (16 active per token) and a custom Kimi Delta Attention architecture for improved scaling.

In practice

Topics

Best for: AI Engineer, NLP Engineer, Research Scientist, AI Scientist, Machine Learning Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by AIM Network.