Local AI Advisor

Hardware that delivers the experience you want — not just loads the model

Pick the model and describe the workload. We rate every machine in the database for that exact workload and group them by whether they meet your target.

1 · Model

Quantization

2 · Use case

Agentic coding

Chat & writing

Coding

Documents & research

Multimodal

Automation & serving

3 · Tool & runtime

Tool: OpenCode
Runtime

4 · Workload

Context
Project size, agent behaviour, other apps
Coding style
Repository size
Repository size is a signal for retrieval and prompt-processing load — the whole repo never goes into the context.
How does the agent behave?
What else do you normally run while coding?
This memory is subtracted before the model is considered. Very important on 16–32 GB machines.

5 · Desired experience

6 · Budget & vendors (optional)

Prices are approximate launch prices for the whole system.

USD max

GLM-5.3 (753B-A40B) · Agentic coding / medium repository

Target: comfortable · 0 machines meet it

Meets your comfortable target (0)

Cheapest first.

No machine in the database meets this target. Try a smaller model, shorter context or a lighter workload.

Meets the acceptable target (1)

Usable, with noticeable compromises for this workload.

Can run, but below your target (1)

The model loads, but the experience falls short for this workload.

Cannot run (126)

Not enough usable memory, or no compatible runtime.