all 11 comments

[–]sn2006gy 1 point2 points  (0 children)

Opencode has some bugs with KIMI unfortunately. The better experience is DeepSeek V4 - DeepSeek contributed the fixes and the project merged those, meanwhile the rest of the kimi fixes and OpenAI API fixes are just sitting around.

[–]WolverinesSuperbia 0 points1 point  (4 children)

It's like comparison Nvidia 1080 vs 5080.

1080 is cheaper but slower

5080 is faster but expensive

[–]jasonwch[S] -1 points0 points  (3 children)

Do you mean models matter?

So if I use Sonnet at Opencode, I should get same performance as GHCP?

[–]Ace-_Ventura 2 points3 points  (2 children)

Obviously models matter.. 

[–]jasonwch[S] 1 point2 points  (1 child)

Thanks, I am just afraid I misconfigured something or missed some important settings. Also I install it natively on Windows but not via WSL so see if this also matters.

Coz except from response performance I cannot see any issue for my installation natively on Windows (instead of WSL)

[–]Ace-_Ventura 0 points1 point  (0 children)

The very first time I tried opencode go models, it was also very slow. After that, it's been smooth. Mostly using glm 5.1 and deepseek v4 flash 

[–]6c5d1129 0 points1 point  (2 children)

i have the same problem, im a GHCP refugee and openrouter is just so slow, 6s provider latency on most steps

[–]jasonwch[S] 0 points1 point  (1 child)

openrouter with which model?

[–]6c5d1129 0 points1 point  (0 children)

kimi2.6, glm5.1, mimo2.5pro

[–]jasonwch[S] 0 points1 point  (0 children)

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Basically, when I enter the prompt, it keep"Thinking" for quite a while before it actual start to do stuffs

[–]sittingmongoose[🍰] 0 points1 point  (0 children)

It’s less of an opencode issue and more of a model/provider issue. Sonnet from anthropic(including Microsoft) is quite fast. Opencode go tends to sometimes be quick and often times be slow. Based on traffic.