Posted by vinhnx 7 days ago
Would i use it a gain compared to Deep Research products elsewhere? Maybe, probably not but only bc it's hard to switch apps
And don't start me with the "yeah but if the PRC" because it's gross when US can de facto ban and impose conditions even on European companies, let alone the control it has on US ones.
[0] https://en.wikipedia.org/wiki/Moonshot_AI#Funding_and_invest...
Just today I asked for a code review and it flagged a method that can be `static`. The problem is it was already static. That kind of stuff never happens with Opus 4.5 as far as I can tell.
Also, in an opencode Plan mode (read only). It generated a plan and instead of presenting it and stopping, decided to implement it. Could not use the edit and write tools because the harness was in read only mode. But it had bash and started using bash to edit stuff. Wouldn't just fucking stop even though the error messages it received from opencode stated why. Its plan and the resulting code was ok so I let it go crazy though...
I still find Opus is "sharper" technically, tackles problems more completely & gets the nuance.
But man Kimi k2.5 can write. Even if I don't have a big problem description, just a bunch of specs, Kimi is there, writing good intro material, having good text that more than elaborates, that actually explains. Opus, GLM-4.7 have both complemented Kimi on it's writing.
Still mainly using my z.ai glm-4.7 subscription for the work, so I don't know how capable it really is. But I do tend to go for some Opus in sticky spots, and especially given the 9x price difference, I should try some Kimi. I wish I was set up for better parallel evaluation; feels like such a pain to get started.
(https://platform.moonshot.ai/docs/guide/agent-support#config...)
How does Kimi 2.5 compare to it in real world scenarios?
It seems to be priced the same and if it’s being hosted somewhere vs run locally it’s still a worse model, the only advantage would be it is not Anthropic or OpenAI.
Can you clarify what you mean? I am not sure I follow.
DeepSeek 3.2 was already quite compelling. I expect its successor will be competitive.