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Local AI · Recipe · 1× Mac

Qwen3.8-Flash-Next 125B-A6B MLX 4/8-bit with mlx-serve on 1× Mac (M5 Ultra)

Qwen3.8-Flash-Next 125B-A6B MLX 4/8-bit with mlx-serve on 1× Mac (M5 Ultra): 155 tok/s according to github.com (dataset as of Sep 29, 2026).

by drowzeys

155tok/sEveryday

1 request, llmprobe standard prompt, thinking on, with MTP + PLD (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis40with thinking
Instructions in the README Repo

Engine

Engine
mlx-serve 26.9.7-dev @933566c, MLX 0.32.3 (NAX an)
Quantization
MLX mixed 4/8-bit (ddalcu, 100 GiB), KV bf16
Model family
Qwen3.8-Flash-Next
Context
262,144
Parameters
125B MoE / 6B active
Creator
drowzeys
GitHub stars
1
Repo updated
Sep 30, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

Decode · 1 request

  • Everyday (decode)155 tok/sLlmprobe 0.6.13, greedy, Median aus 3 (143.6–165.8), 192 Token Source 
  • Peak (decode)277 tok/sVorhersagbarer Prompt (Spekulation, 7.84 tok/step); x4 Aggregat 166.8 Source 

Prefill by context

Time to first token

Shorter is better.

What you need

Hardware
1 × Mac / Apple Silicon
Engine
mlx-serve 26.9.7-dev @933566c, MLX 0.32.3 (NAX an)
Context
262,144 tokens

Notes

What matters before you rebuild it.

  • Experimental
  • License unclear

Sources

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