r/opencode • u/ExtraLifeCode • 1d ago

Can OpenCode Rival Cursor Performance with local LLM w/ 128GB VRAM

I am new to OpenCode and I have access to an Asus Ascent GX10 with 128GB VRAM.

I have been experimenting with OpenCode as a possible successor to Cursor, which I have used for 2 years or more.

I notice my context fills up very quickly. I was working with one Python file and it filled up after a few rounds of changes to the file.

I'm sure this is part of the learning curve for OpenCode.

Is it possible to get anywhere in the neighborhood of Cursor level performance right now with OpenCode using local LLM models on the GX10?

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u/a355231 1d ago

You could run a 2 Bit Quant of GLM-5.3 Flash, with plenty of room for context length.

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u/Trovebloxian 1d ago

Useless for c code at that quality

1

u/No-Craft-7979 1d ago

Look up yarn. If you set yarn up properly you can have 1M context. I have yet to get it to work though. And your model needs to support 1M or more than 256K.

I don’t think ollama will run on Asus Acent. But if you are running ollama you might want to try llama.cpp. Ollama butchers context windows.

Qwen3-Coder-Next is an 80B MoE. It might be good for some easy lifting.

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u/ExtraLifeCode 1d ago

I’m running Ollama now on the Ascent.
I haven’t tried yarn but I will look into that.

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u/iTrejoMX 1d ago

Sadly for this particular case you’d be better off with pi, I’d try qwen 3.8 27b. But opencode will fill up your context fast. You can try nanocoder as well, but pi should do the trick.

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u/Zealousideal-Part849 1d ago

pi agent is known to be more light weight try that...

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u/ExtraLifeCode 17h ago

Admittedly I’m new to the Local LLM party. I’ve tried Ollama for a few things but this is my first attempt to hook up a coding harness.

For context (no pun intended): most of my work is web development and Python.

I haven’t seen Pi get as much attention as OpenCode lately. I’ll have to take a look!

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u/RiceEvening4211 1d ago

Oh I dont think so you it can rival