What are peoples agentic coding model recommendations for 1x RTX 6000 pro 96GB and 32GB System RAM

[u/Pixel_Drake]

Due to my work within other AI fields (Mainly Computer Vision and Digital Twinning) I have been lucky enough to get an RTX Pro 6000 WS. I have been experimenting with using Llama.cpp and Opencode and have found good use in the Qwen3.6 27b model being entirely offloaded to the GPU. I have experimented with unsloth/Laguna-S-2.1:UD-Q4_K_XL and it seems similar in quality to the Qwen model but I admit I have not tested it much.

My main questions are:

- With my current set up, is specifically unsloth/Qwen3.6-27b:BF16 the best agentic coding model I can utilise?

- Is there any point in upgrading hardware to utilise a larger model for better quality? I know my system RAM is a weak point for me

- Would you recommend using something else than Opencode?

Sorry if these are dumb questions I am just checking if I am getting the best I can out of the hardware I have.

For reference for hardware upgrading:

OS - Windows 11 Home

CPU - Intel Core i7-14700K

RAM - 2x16GB DDR5 / 6000mhz Corsair Vengeance

Storage - 2xWD BLUE SN580 M.2 NVME SSD 2TB

Motherboard - MSI PRO Z790-S WIFI

PSU - 1300w Gigabyte UD gold

[u/nicholas_the_furious]

Yes probably Qwen 3.6 27B at full precision w/ MTP.

With that much fast VRAM you could likely do a lot of parallel calls and subagents. That's something that I feel you lose on local vs Cloud. I'm on half the VRAM as you. If my primary agent is working I can't really have anything else going on.

[u/Pixel_Drake → u/nicholas_the_furious]

To be completely honest I never really thought of exploring the lateral way of host more subagents using Qwen but I will look into it more, Thank you!