It's been pretty useful for experimenting with local models due to its more light-weight approach. Though I respect the creators a ton, OpenCode has not seemed to work as well with models that run on consumer hardware
Which models are you finding the most success with?
qwen3.5 4b and 9b have both been surprisingly good for small tasks. a pattern I've been using is orchestrating pi agents with a script (that you can write using a frontier model) for common tasks. one script i use a lot is organizing photos from my photography shoots.
What does a "script" mean in this context? Like a Python script that runs a series of agents with small tasks? I'm still getting used to doing things with AI, this is all very new to me.
I have more beefcake machines and Qwen 4.6 36B has been awesome for coding. Its fast for a local model, seems to get a lot right most of the time, just its slower than OpenAI/Claude/Cloud Hosted stuff since I dont have a 24GB+ GPU (I have Strix Halo and a 12GB GPU)
How many token/s do you get with that setup?
60-70 tokens/sec
Windows 11
LLM Studio
250 or whatever the models max is below that as context
Qwen3.6 35B A3B
35B-A3B, gguf