// AI hot topic · 2026-W45 #3 · Models & software
kimi k3.1 pro open weights: hotspot #3 of 2026-W45, covered by 4 outlets, first reported on 2026-11-05 (Beijing time). Below: what happened, why it matters, a dated timeline of all 5 sources, and the models, prices and tools involved.
Week 2026-11-02 – 2026-11-08Updated 2026-11-10Sources: official & media reports only
On November 5 Moonshot AI published the weights of its flagship multimodal model Kimi K3.1 Pro on Hugging Face for independent deployment. The mixture-of-experts model has about 2.8 trillion total parameters, roughly 104 billion active per inference, and a context window of about 1 million tokens. K3.1 Pro extends Kimi K3 with more reinforcement learning for coding, 3D creation, financial research and long-running agent tasks; it was previously available through Kimi's apps and API. Huawei announced inference support via vLLM Ascend and SGLang on its Atlas A3 and Ascend 950 systems, and Vercel AI Gateway added more zero-data-retention (ZDR) providers for the model.
At 2.8 trillion parameters, K3.1 Pro is among the largest open-weight models available, which also raises the bar for self-hosting: storing the weights and running multi-node inference requires a large cluster, so most teams will still use it through APIs or third-party hosts. Huawei's same-week Ascend support shows Chinese models and domestic accelerators are now being matched within the release week.
Enterprises and cloud providers running their own inference clusters, Ascend ecosystem developers, and developers using Kimi through APIs.
Written from the 5 reports below (2026-11-05 – 2026-11-07, Beijing time). We add no facts beyond what the sources say.
Oldest first. Headlines are in the original language and link to the original article.
Weekly hotspots with Moonshot (Kimi) in the headline, in order.
Kimiai-gatewaysglanginferenceHugging Face
Open-source repos: Moonshot (Kimi) on GitHub
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On November 5 Moonshot AI published the weights of its flagship multimodal model Kimi K3.1 Pro on Hugging Face for independent deployment. The mixture-of-experts model has about 2.8 trillion total parameters, roughly 104 billion active per inference, and a context window of about 1 million tokens. K3.1 Pro extends Kimi K3 with more reinforcement learning for coding, 3D creation, financial research and long-running agent tasks; it was previously available through Kimi's apps and API. Huawei announced inference support via vLLM Ascend and SGLang on its Atlas A3 and Ascend 950 systems, and Vercel AI Gateway added more zero-data-retention (ZDR) providers for the model.
The first report we collected was on 2026-11-05 (Beijing time), the latest on 2026-11-07: 11-05 2 reports, 11-06 2 reports, 11-07 1 report. It was #3 in the 2026-W45 weekly report (2026-11-02 – 2026-11-08).
Earlier weekly hotspots about Moonshot (Kimi): 2026-W43 — Moonshot releases Kimi K3.1 Pro, a 3T-class open-weight model that closes in on Claude Opus 5.5. Each has its own page linked in “the story so far” above.
4 outlets covered it. The earliest report we collected is “Kimi K3.1 Pro now has more ZDR providers on AI Gateway” (Vercel Changelog, 2026-11-05 Beijing time). Sources include Vercel Changelog, TechNode, Dev.to AI, Dev.to LLM, Qiita AI. All 5 source links are listed on this page in date order.
Official list price: $1.94 in / $10.15 out per 1M tokens, context 1.05M (checked 2026-10-24). Third-party channel prices and history are on the Kimi K3.1 Pro model page.
Related searches: kimi k3.1 pro hugging face, kimi k3.1 pro parameters, kimi k3.1 pro self host, kimi k3.1 pro vllm
From the AIMap weekly hotspots: picked from 1,100+ official and media sources, clustered into events, and written up from the original reports. 2026-W45 weekly report · All hot topics
Data updated: AI news(UTC+8)