Kimi K3 Officially Lands at 2.8T, Weights Due July 27

Top story

Kimi K3: full specs published, 2.8T parameters, weights by July 27

Moonshot AI published the official Kimi K3 technical blog post, filling in every specification the company withheld when the model went live yesterday.

K3 is a 2.8T-parameter model on a Stable LatentMoE architecture, activating 16 of 896 experts. It is built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes), carries a 1-million-token context window, and has native vision. Moonshot positions it for software engineering, knowledge work, deep research and multimodal understanding.

Published benchmark scores include DeepSWE 67.5, Terminal Bench 2.1 88.3, MMMU-Pro 81.6 and GPQA-Diamond 93.5.

On availability: weights will be released by July 27, 2026 (no license stated). The API is already live across Kimi.com, Kimi Work, Kimi Code and the Kimi API, priced at $0.30/MTok for cache-hit input, $3.00/MTok for cache-miss input and $15.00/MTok for output.

Notably, Moonshot states in the post that K3 still trails the strongest proprietary models, Claude Fable 5 and GPT 5.6 Sol, and lists three technical limitations of its own — among them sensitivity to thinking history and excessive proactiveness.

Sources: kimi.com/blog/kimi-k3 · Hacker News

Research and analysis

ArtificialAnalysis: Kimi K3 scores 57, ranking 4th of 189 models

The third-party evaluation platform ArtificialAnalysis puts Kimi K3's intelligence index at 57, ranking it 4th out of 189 models it tracks.

The platform notes this sits well above the median of 30 for reasoning models in a comparable price tier, placing K3 among the leaders in its category — at the cost of higher verbosity and slower output than its peers.

A claim circulating in the community — that K3 ranks 3rd and beats Claude Opus 4.8 — does not match the platform's current page. The figures above are what the platform publishes.

Source: ArtificialAnalysis

Arena WebDev board: Kimi K3 takes first at 1679, 48 points clear of Claude Fable 5

Kimi K3 sits at #1 on Arena's WebDev (frontend coding) leaderboard with a score of 1679. The current top five:

Worth reading against this issue's top story: Moonshot's own blog says K3 still trails Claude Fable 5 and GPT 5.6 Sol. Both can be true — the company is talking about overall capability; this is one frontend-coding board. The same model can land in very different places depending on the axis, and any single number on its own gives a lopsided picture.

Source: Arena WebDev leaderboard

Products

Google is renaming NotebookLM to Gemini Notebook

Google is renaming NotebookLM to Gemini Notebook, and says users will soon be able to reach their notebooks from AI Mode as well.

Source: The Verge

Google Search's AI Mode starts connecting to third-party apps

Google is opening AI Mode to third-party app connections, starting with Instacart, Canva and YouTube Music.

In practice: drop recipe ingredients straight into an Instacart cart from AI Mode; ask Canva for a design template for something like a flyer; build a YouTube Music playlist and hit play. The feature starts rolling out in the U.S. this week, and Google says it is working with more partners.

Source: Google Blog

Google Vids adds Gemini Omni and personal avatars

Google Vids ships two features at once. Gemini Omni generates and edits high-quality video from text prompts and image references, and takes step-by-step edits in plain language — swap a background, fix the lighting, add an effect. Personal avatars turn a selfie plus a voice recording into a digital stand-in that can deliver a message without you going on camera.

Both are available to Google AI Pro and Ultra subscribers and Google Workspace business customers. Personal avatars are limited to certain regions and users 18 or older, tied to a Google Account, and restricted to the account holder's own likeness. Every AI-generated clip carries an invisible SynthID watermark.

Source: Google Blog

Roblox brings AI game creation to mobile with "Build"

Roblox announced a feature called Build on Thursday, letting users design games from a mobile device.

Build turns a simple text prompt into a basic game with no programming experience required.

Source: TechCrunch

Industry

Zhipu's ARR reaches $1 billion, up 15x in six months

Per an exclusive from 36Kr, Zhipu's annual recurring revenue has reached $1 billion, growing 15x in six months.

Source: 36Kr

Microsoft CEO Nadella criticizes Anthropic's content controls on Fable

Microsoft CEO Satya Nadella said Wednesday that the restrictions Anthropic places on queries submitted to its high-end model Fable make no sense. Per a transcript of his remarks, he was speaking to engineers working on Microsoft's Copilot.

Source: 36Kr

Looking ahead

What the community is actually worried about: running 2.8T locally

K3's release set off a wave of hands-on testing and discussion on r/LocalLLaMA, centered on the idea that open-weight models are catching the frontier in real time.

The most concrete concern is size. 2.8T parameters is a real problem for local deployment; users argue it will take aggressive quantization along the lines of iQ2_XXS to run at all, and others are debating what kind of rig this moment calls for. Weights aren't out until July 27, so there are no real local numbers yet.

These are community tests and opinions, not confirmed by Moonshot or the evaluation platforms. (The community's claim that K3 beats Fable on arena.ai is now confirmed by the Arena WebDev board — see "Research and analysis" above.)

Sources: r/LocalLLaMA · r/LocalLLaMA