Kimi Released Kimi K2.5, Open-Source Visual SOTA-Agentic Model

Post by omneity » Tue, Jan 27, 2026, 1:32 PM UTC

Barathkanna wrote: post #54

bertili wrote: post #48

Earlier quoted context omitted.

The other realistic setup is $20k, for a small company that needs a private AI for coding or other internal agentic use with two Mac Studios connected over thunderbolt 5 RMDA.

That won’t realistically work for this model. Even with only ~32B active params, a 1T-scale MoE still needs the full expert set available for fast routing, which means hundreds of GB to TBs of weights resident. Mac Studios don’t share unified memory across machines, Thunderbolt isn’t remotely comparable to NVLink for expert exchange, and bandwidth becomes the bottleneck immediately. You could maybe load fragments exp…

Post by zozbot234 » Tue, Jan 27, 2026, 1:36 PM UTC

1dom wrote: post #110

johndough wrote: post #81

Earlier quoted context omitted.

The model absolutely can be run at home. There even is a big community around running large models locally: https://www.reddit.com/r/LocalLLaMA/ The cheapest way is to stream it from a fast SSD, but it will be quite slow (one token every few seconds). The next step up is an old server with lots of RAM and many memory channels with maybe a GPU thrown in for faster prompt processing (low two digits tokens/second). At t…

> The model absolutely can be run at home. There even is a big community around running large models locally IMO 1tln parameters and 32bln active seems like a different scale to what most are talking about when they say localLLMs IMO. Totally agree there will be people messing with this, but the real value in localLLMs is that you can actually use them and get value from them with standard consumer hardware. I don't…

Post by dev_l1x_be » Tue, Jan 27, 2026, 1:45 PM UTC

whizzter wrote: post #92

motoboi wrote: post #80

Earlier quoted context omitted.

What amazes me is why would someone spend millions to train this model and give it away for free. What is the business here?

Chinese state that maybe sees open collaboration as the way to nullify any US lead in the field, concurrently if the next "search-winner" is built upon their model the Chinese worldview that Taiwan belongs to China and Tiamen Square massacre never happened. Also their license says that if you have a big product you need to promote them, remember how Google "gave away" site searche widgets and that was perhaps one of…

Post by 1dom » Tue, Jan 27, 2026, 1:50 PM UTC

zozbot234 wrote: post #113

1dom wrote: post #110

Earlier quoted context omitted.

> The model absolutely can be run at home. There even is a big community around running large models locally IMO 1tln parameters and 32bln active seems like a different scale to what most are talking about when they say localLLMs IMO. Totally agree there will be people messing with this, but the real value in localLLMs is that you can actually use them and get value from them with standard consumer hardware. I don't…

32B active is nothing special, there's local setups that will easily support that. 1T total parameters ultimately requires keeping the bulk of them on SSD. This need not be an issue if there's enough locality in expert choice for any given workload; the "hot" experts will simply be cached in available spare RAM.

Post by vinhnx » Tue, Jan 27, 2026, 1:56 PM UTC

forgotpwd16 wrote: post #112

vinhnx wrote: post #42

One thing caught my eyes is that besides K2.5 model, Moonshot AI also launched Kimi Code ( https://www.kimi.com/code ), evolved from Kimi CLI. It is a terminal coding agent, I've been used it last month with Kimi subscription, it is capable agent with stable harness. GitHub: https://github.com/MoonshotAI/kimi-cli

>Kimi Code CLI is not only a coding agent, but also a shell. That's cool. It also has a zsh hook, allowing you to switch to agent mode wherever you're.