Kimi
Your AI Assistant for Deep Thinking and Productivity
75 followers
Your AI Assistant for Deep Thinking and Productivity
75 followers
Kimi is an AI assistant designed to help you interpret academic papers, write code, plan strategies, create content, and translate languages. With just one click, Kimi solves your problems, enhancing productivity for students and professionals alike.
This is the 2nd launch from Kimi. View more
Kimi K3
Launching today
Kimi K3 is a 2.8T-parameter open model featuring native vision capabilities, a 1-million-token context window, and Moonshot AI's Kimi Delta Attention and Attention Residuals architectures. Built as the world's first open 3T-class model, it delivers frontier-level performance in long-horizon coding, compiler development, digital creation, and scientific reasoning, outperforming previous open models in scaling efficiency and agentic capabilities.
Free
Launch Team
Mom Clock
Hi everyone! 👋
While most of the industry is focused on scaling compute, Moonshot is focused on scaling intelligence.
Instead of just scaling up model parameters (which they did anyway—hitting a massive 2.8T parameters!), Kimi K3 introduces a 2.5x improvement in scaling efficiency using their custom Kimi Delta Attention and Attention Residuals architectures.
It is the world’s first open 3T-class model, and its long-horizon agentic workflows are wild:
🤯 1M Context + Native Vision: Built for massive data ingestion, from video and screens to complex systems.
💻 Autonomous Engineering: It built its own GPU compiler (MiniTriton) and optimized complex GPU kernels competitively with the strongest proprietary models.
🧠 Chip Design & Astrophysics: In a single 48-hour run, it autonomously designed and verified its own microchip. It also bridged astrophysics literature with executable code to reproduce complex stellar relations.
It's impressive to see a 2.8T model with this level of long-horizon reasoning being open-sourced.
How do you see open-source weights of this scale shifting the balance with proprietary AI?
Tried to put K3 through a real test before commenting instead of just reading the benchmarks. Signed in, picked K3 Max from the model list, and asked it a nested Navigator Hero animation question straight from my Flutter client work. Two attempts, both came back with Task paused due to system peak. Honestly that says more about launch day demand than about the model, but I did not get my answer yet.
Two things worth flagging for the team. The composer still defaults to K2.6 Fast for signed-in users, so a lot of people arriving from this page and typing straight into the box are probably testing the old model without realizing it. And when K3 pauses under load it would be great to see queue position or an ETA instead of a bare retry link.
The open weights angle is the genuinely exciting part for me as an agency dev. A 1M context window plus native vision at open 3T class scale changes what small teams can even consider self-hosting. Congrats on shipping, upvoted, and I will retry the Flutter question once the servers cool down.
scaling efficiency claim is the interesting part honestly, the chip design/compiler stuff feels more like a flex until someone outside moonshot replicates it.
That's impressive scale. How does it perform on long-horizon coding tasks versus other open models?
Uploaded a dense methodology section from a paper and it gave me a clean summary in seconds, way better than skimming for ten minutes. Going to keep using it for my lit reviews.
Finally tried Kimi for breaking down a dense research paper and it actually pulled out the methodology cleanly in like 10 seconds, saved me a real headache honestly.
honestly the translation feature could use real-time voice input, like you speak and it instantly translates or transcribes. would make it way more useful for meetings or lectures when typing isnt practical. just a thought