Available now: NVIDIA Nemotron 3.5 Bolt E4B 4GB ⚡️
Our newest small open model is built for local assistants, interactive characters and robots that can carry on a conversation and use tools to get things done.
Watch Reachy Mini chat and move, with Bolt handling conversation and NVIDIA Cosmos handling vision. Both models run locally on Jetson Orin Nano 8GB.
Learn more: research.nvidia.com/labs/nemotron/…
Kimi K3.1 Pro is the funniest scam ever. Bought a $200 sub to test; hit the 5h limit in 20 min. After that instructed the agent to NOT use subagents (why it's spawning unlimited subagents by default??) - 5h is still sad, but at least doesn't die in 20 min. Cancelled sub; will never buy again.
🚨 Claude and Codex users !!
Kimi K3.1 Pro is here! It has SAME LEVEL performance as Opus 5.5 and GPT 6 Astra!!
The Chinese labs are COOKING🔥
Will you switch to it for the cheaper price??
Or do you think it's benchmarked maxxxed?
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
openai.com/index/securing…
Seriously, this is such an insane release, I did not expect this:
Kimi K3.1 Pro beats every listed US frontier model on 6 of 14 benchmarks in Moonshot’s evaluations.
At $2 per million input tokens and $10 per million output tokens, its standard token rates are 50% below Opus 5.5 ($4/$20 !!) and 80% below GPT-6 Astra ($10/$50!!)
In other words: SOTA much cheaper, local running (with enough compute)
Holy shit: Kimi k3.1 pro is on par or even outperforms Opus 5.5 and GPT-6 astra on key benchmarks!!
They just announced K3.1 Pro, a 2.8T-parameter multimodal model with a 1M-token context window that it claims rivals leading proprietary models in coding and agent tasks, with
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1…
MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token.
Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and
Oh my GOD Kimi K3.1 is Broken
One shot fully working 3D Train with speed slider, assembly / exploded views, wireframe and stat tracking
Wtf is going on with these Chinese models, this feels design wise similar to a GPT model but just has that something extra like Anthropic models on top
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15K Followers 3K FollowingVP & Chief AI Scientist @Cisco. (adjunct) Prof at @Stanford, ex Chief Scientist at Robust Intelligence (acquired by Cisco). ex Prof @Yale, ex @Google. My views.
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53K Followers 83 FollowingThe Australian Signals Directorate provides intelligence, cyber security and offensive operations in support of the Australian Government and the ADF.
2K Followers 1K FollowingI will be Sad Albert Until AGI.
As mentioned by @thsottiaux
I need more FOLLOWS.
GPT 6 Astra and Opus-5.5 are baby AGI.
My dream is to meet @sama one day.
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I share my journey building Syceon here.
Tech/AI commentary
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16K Followers 5 FollowingMoE model series with foundation (Ling), reasoning (Ring) and any-to-any (Ming) from Ant Group’s AGI initiative, @TheInclusionAI. https://t.co/6LEkFlo2cq
6K Followers 105 FollowingRoyal Society University Research Fellow at the University of Manchester. Mathematician and owner of https://t.co/SWVqqnq9hn. He/him/his.
45K Followers 276 Following🎓 Applied Maths PhD student at DAMTP, University of Cambridge
🪐 Showing others the beauty in Maths, Space, and STEM
📧 [email protected]