Configs › Qwen3-4B › Qwen3-4B on Mac Max: 186 tok/s, 3 measured configs
Qwen3-4B on Mac Max: 186 tok/s, 3 measured configs
Measured Qwen3-4B speeds on Mac Max: fastest 186 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 Qwen3-4B on Mac Max: 186 tok/s (MLX-4BIT, mlx), snapshot 2026-10-29.
Every measured single-stream run of Qwen3-4B on Mac Max
| Decode tok/s | Quant | Backend | Context | Trust | Measured by | Source checked | Source |
|---|---|---|---|---|---|---|---|
| 186 | MLX-4BIT | mlx | 512 | Extracted, source-linked | emihiggins | 2026-09-29 | source |
| 159.7 | Q4_K_M | llama.cpp | 512 | Extracted, source-linked | emihiggins | 2026-09-29 | source |
| 55.9 | BF16 | xwen | 3890 | Extracted, source-linked | 0rvar | 2026-09-25 | source |
Best quant on Mac Max
Fastest plain-decoding run per quant, versus the fastest quant.
- MLX-4BIT: 186 tok/s, fastest (mlx)
- Q4_K_M: 159.7 tok/s, 14% lower (llama.cpp)
- BF16: 55.9 tok/s, 70% lower (xwen)
Backends on Mac Max
Fastest plain-decoding run per backend. Quants can differ between rows.
- mlx: 186 tok/s (MLX-4BIT)
- llama.cpp: 159.7 tok/s (Q4_K_M)
- xwen: 55.9 tok/s (BF16)
Questions and answers
- How fast is Qwen3-4B on Mac Max?
- The fastest of 3 measured configs is 186 tok/s single-stream (MLX-4BIT, mlx). The slowest is 55.9 tok/s.
- Which quant of Qwen3-4B is fastest on Mac Max?
- MLX-4BIT at 186 tok/s, ahead of Q4_K_M at 159.7, BF16 at 55.9. Plain decoding only.
- Which backend is fastest for Qwen3-4B on Mac Max?
- mlx at 186 tok/s, then llama.cpp at 159.7, xwen at 55.9. Each backend figure is its best plain-decoding row and may use a different quant.
See also: Qwen3-4B 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.