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No. Qwen3.8-Flash-Next 125B-A6B (MoE) does not fit on M3 Max (30c GPU) 96GB: Q4_K_M needs 122.7 GB and 72.0 GB is usable.
Hardware: M3 Max (30c GPU) 96GB · Model: Qwen3.8-Flash-Next 125B-A6B (MoE)
M3 Max (30c GPU) 96GB has 96 GB of unified memory and 300 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 72.0 GB. Qwen3.8-Flash-Next 125B-A6B (MoE) (125B, 6B active, Alibaba) at Q4_K_M is a 120 GB download and needs 122.7 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 120 GB |
| Memory needed | 122.7 GB |
| Usable fast memory | 72.0 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run qwen3.8-flash-next:125b-a6b-q4_K_M |
Smallest hardware that runs it: M2 Ultra 192GB at Q4_K_M (fits in fast memory, 122.7 GB needed, 144.0 GB usable, about 56 tok/s (estimate)). Can a M2 Ultra 192GB run Qwen3.8-Flash-Next 125B-A6B (MoE)?
A smaller Alibaba model that fits this hardware: Qwen3-Next 80B-A3B (MoE) at Q4_K_M (fits in fast memory, 52.4 GB). Can a M3 Max (30c GPU) 96GB run Qwen3-Next 80B-A3B (MoE)?
Open M3 Max (30c GPU) 96GB in the checkerEstimates, 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