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Mon, July 2023:48ResearchModel releasesAPI & pricingChinese modelsModel releases guide

Kimi K3 Released: 2.8T MoE Open-Weight Model, Near Frontier Performance

Decision Brief

What changedMoonshot AI releases Kimi K3, a 2.8T-parameter MoE model with open weights, trailing only Claude Fable and GPT-5.6 Sol on several benchmarks.
Why it mattersKimi K3 is the strongest open-weight model to date, narrowing the US-China performance gap to 3-5 months, enabling developers and enterprises to access near-frontier capabilities with open models.
Who should careAll AI builders
Affected stackClaudeOpenAIKimi
Source confidenceMedium · Reliable media or first-hand reporting

Kimi K3 is Moonshot AI's flagship MoE model with 2.8T parameters, announced on July 16, 2026, with open weights releasing July 27. It ranks second in the Vals AI Index and behind only Claude Fable and GPT-5.6 Sol Max in the Artificial Analysis Intelligence Index, with lower cost, and holds first place in the Frontend Code Arena. The architecture features Kimi Delta Attention (KDA) and Attention Residuals (AttnRes), with MoE activating 16/896 experts under the Stable LatentMoE framework, achieving ~2.5x scaling efficiency over Kimi K2. The model cuts the US-China frontier performance gap from 6–9 months to 3–5 months. For developers and enterprises relying on open-source LLMs, Kimi K3 offers unprecedented performance, enabling near-frontier applications without closed APIs. Its cost advantage further lowers barriers. For frontier labs like OpenAI and Anthropic, strong open models may compress margins and slow overall AI investment. Chinese government support for open-source AI at the World AI Conference also reduces policy risk.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

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