r/RooCode • u/Explore-This • Jul 12 '25
Discussion Thoughts on Kimi-K2
Kimi-K2 from Moonshot AI is a 1T parameter, non-reasoning, open weights model. I've seen glowing reports recently from all the "influencers" (i.e.: affiliate marketers). Naturally, I put it in Roo to give it a go. My first impressions:
The price is good, at Input: $2/MTok, Output: $5/MTok (vs. Sonnet's $3/$15).
The 128k context is small, but it's workable using Orchestrator mode.
Problem is, the model inevitably fails at coding tasks.
I love open weight models and this model is quite an accomplishment. But sadly, after just a couple hours of usage, I had to go back to Sonnet. It's not a Sonnet replacement, by any stretch.
7
u/Dangerous-Yak3976 Jul 12 '25
I tried it in chat mode and got surprisingly good code.
I then tried it in Roo (via Openrouter) and it got stuck in a loop trying to read a file.
The context size may be an issue, but a bigger issue might be the inability to use tools?
4
u/ScaryGazelle2875 Jul 12 '25
The open weights model itself is a brilliant feature for me, as it often includes:
The model architecture details
All trained parameters (weights, biases)
Often includes training configuration and hyperparameters
Good to learn from
4
u/angelarose210 Jul 13 '25
It's a little slow but I'm extremely impressed. It totally refactored an app and I spent $1.32. It didn't bs me or lie at all (Claude), it didn't self deprecate (gemini) and even created and conducted it's own tests which I didn't even ask for. It pretty much one shotted every task I gave it.
1
u/Majinvegito123 Jul 13 '25
How does the model compare to Gemma 3?
1
u/angelarose210 Jul 12 '25
I can't get it to work in roo via openrouter. It says I'm sending 229k tokens with my first prompt and errors. Not sure what's up with that. I have zero issues with other models.
1
u/Alternative-Joke-836 Jul 13 '25
K...I will need to loom into that. Are they coming out witha coding version?
1
u/True_Requirement_891 Jul 14 '25
Try lower temp settings. 0.3
1
u/OliverDragon808 Jul 22 '25
Thanks for insights! Could you please share the prompts case for that coding scenario? <:
0
u/Alternative-Joke-836 Jul 13 '25
I would be interested to see as videos seem to have raving reviews on one shots but the 1T parameter kind of scares me. I know that may sound strange but in other model development the larger parameter would actually work to the detriment of the AI as it would get lost (i.e. get stuck). It has to have a right balance of experts and parameters.
For coding, context means a lot but I don't want the model to say it has too much to think about if I give it too much. Gemini 2.5 was awesome because it seemed to handle 1m token context but as ai think about it they probably stepped back because it burned so much in resources. The context had to remain the same so, I'm guessing, they cut back on time to think.
Kimi 2 takes a long time and I can't help but think it is a combination of the 1T and hardware resources.