Configs › Qwen3.6-35B-A3B › Qwen3.6-35B-A3B on Mac Max: 151.1 tok/s, 3 measured configs

Qwen3.6-35B-A3B on Mac Max: 151.1 tok/s, 3 measured configs

Measured Qwen3.6-35B-A3B speeds on Mac Max: fastest 151.1 tok/s single-stream (MLX-4BIT, mlx), 3 configs with quant, backend and context, each linked to its source, snapshot 2026-10-29.

Snapshot 2026-10-29 · 413 configs on AI boxes and 288 on GPU cards · 121 models. Every number is generated from the tracker snapshot and linked to where it was measured; nothing here is typed by hand.

Fastest measured single-stream run of Qwen3.6-35B-A3B on Mac Max: 151.1 tok/s (MLX-4BIT, mlx), snapshot 2026-10-29.

Every measured single-stream run of Qwen3.6-35B-A3B on Mac Max

Decode tok/sQuantBackendContextTrustMeasured bySource checkedSource
151.1MLX-4BITmlx512Extracted, source-linkedemihiggins2026-09-29source
124.3Q4_K_Mllama.cpp512Extracted, source-linkedemihiggins2026-09-29source
30.8BF16mlxExtracted, source-linkedlizhun7810212026-09-29source

Best quant on Mac Max

Fastest plain-decoding run per quant, versus the fastest quant.

Backends on Mac Max

Fastest plain-decoding run per backend. Quants can differ between rows.

Qwen3.6-35B-A3B on other boxes

Questions and answers

How fast is Qwen3.6-35B-A3B on Mac Max?
The fastest of 3 measured configs is 151.1 tok/s single-stream (MLX-4BIT, mlx). The slowest is 30.8 tok/s.
Which quant of Qwen3.6-35B-A3B is fastest on Mac Max?
MLX-4BIT at 151.1 tok/s, ahead of Q4_K_M at 124.3, BF16 at 30.8. Plain decoding only.
Which backend is fastest for Qwen3.6-35B-A3B on Mac Max?
mlx at 151.1 tok/s, then llama.cpp at 124.3. Each backend figure is its best plain-decoding row and may use a different quant.
How does Mac Max compare with other boxes for Qwen3.6-35B-A3B?
Mac Max best 151.1 tok/s. Other boxes, best measured: Strix Halo 127.1, Mac Ultra 109.1, DGX Spark 77.4. Backends and quants differ, so this is the best known number per box, not a controlled test.

See also: Qwen3.6-35B-A3B on every box · Mac Max hardware page (from S$3,499 in Singapore today).

Last updated: snapshot 2026-10-29; newest source check 2026-09-29.

More: all configs · hardware · news · contributors · methodology · llms.txt · llms-full.txt · API (OpenAPI) · JSON snapshot. Built by Altronis, private on-prem AI, Singapore.