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Yes. Qwen3-VL 235B-A22B (MoE) fits in fast memory on Mac Studio M3 Ultra (80c GPU) 256GB at Q4_K_M (145.7 GB needed, 192.0 GB usable), about 25 tok/s (estimate).
Hardware: Mac Studio M3 Ultra (80c GPU) 256GB · Model: Qwen3-VL 235B-A22B (MoE)
Mac Studio M3 Ultra (80c GPU) 256GB has 256 GB of unified memory and 819 GB/s of memory bandwidth. Mac Studio M3 Ultra (60c GPU) 256GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M3 Ultra (80c GPU) 256GB. The checker leaves macOS a share of unified memory, so Ollama can use 192.0 GB. Qwen3-VL 235B-A22B (MoE) (236B, 22B active, Alibaba) at Q4_K_M is a 143 GB download and needs 145.7 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 143 GB |
| Memory needed | 145.7 GB |
| Usable fast memory | 192.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~25 tok/s (estimate) |
| Command | ollama run qwen3-vl:235b |
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.
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