Twitter/X

@adxtyahq (posted 2026-07-16 19

2026-07-16 · 19:21 UTC ·@adxtyahq ·0 min read

Brief

Kimi K3 is presented as a 2.8T-parameter, native multimodal model with a 1,000,000-token context and new techniques—Kimi Delta Attention (up to 6.3x faster decoding in long contexts) and Attention Residuals (~25% training efficiency at <2% cost). The author (@adxtyahq) on 2026-07-16 praises its single-prompt UI polish and likens it to an open-sourced Fable-5 class model; weights open July 27, 2026.

Why it matters

@adxtyahq (posted 2026-07-16 19:21:53+00:00) claims Kimi K3 "feels like China just open-sourced a Fable-5 class model" and reports it generated exceptionally polished UI from a single prompt.

Key details

  • Kimi.ai announces Kimi K3: 2.8 trillion parameters, 1,000,000-token context, native multimodal; Kimi Delta Attention claimed to enable up to 6.3x faster decoding in million-token contexts; Attention Residuals claim ~25% higher training efficiency at <2% extra cost. Kimi K3 is live on Kimi.com, Kimi Work, Kimi Code and the Kimi API (platform.kimi.ai); weights to be opened July 27, 2026.
Source evidence

Kimi K3 feels like China just open-sourced a Fable-5 class model

Never seen an AI generate UI with this level of polish from a single prompt.

Video

Kimi.ai (@Kimi_Moonshot)

Introducing Kimi K3: Open Frontier Intelligence

🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost
🔹 Built for long-horizon agentic coding and self-evolving workflows

Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API.
Open Weights by July 27, 2026.

🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.com/blog/kimi-k3

— https://nitter.net/Kimi_Moonshot/status/2077830229968683203#m