← CanIRunLocal · All hardware · All models
Yes. Qwen3.5 122B-A10B (MoE) fits in fast memory on M3 Max (40c GPU) 128GB at Q4_K_M (83.7 GB needed, 96.0 GB usable), about 25 tok/s (estimate).
Hardware: M3 Max (40c GPU) 128GB · Model: Qwen3.5 122B-A10B (MoE)
M3 Max (40c GPU) 128GB has 128 GB of unified memory and 400 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 96.0 GB. Qwen3.5 122B-A10B (MoE) (125B, 10B active, Alibaba) at Q4_K_M is a 81 GB download and needs 83.7 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 81 GB |
| Memory needed | 83.7 GB |
| Usable fast memory | 96.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~25 tok/s (estimate) |
| Command | ollama run qwen3.5:122b |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt