Local AI · Recipe · 1× Mac

Qwen3.8-Flash-Next 125B with MLX on 1× Mac

Qwen3.8-Flash-Next 125B with MLX on 1× Mac: 83.1 tok/s according to github.com (dataset as of Sep 29, 2026).

by Weschera

83.1tok/sPeak

1 request, code prompt

Source: github.com
Intelligence (original model) · Artificial Analysisno independent value

Engine

Engine
oMLX 0.6.4 (custom kernels)
Quantization
oQ4e gemischt (4-bit gesamt, group 64, MLX safetensors)
Model family
Qwen3.8-Flash-Next
Context
—
Parameters
125B MoE / 6B aktiv (+51B PLE, +4B MTP) lt. Schwester-Repo Qwen3.8-Flash-Next-1x-DGX-Spark; oMLX-Footprint ~103,94 GB
Creator
Weschera
GitHub stars
13
Repo updated
Aug 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

  • Peak (decode)83.1 tok/scontext 5,999-token-Sequenz · 1.200-Zeilen-Sequenz, MTP6 + aggressive Burst; byte-identisch validiert; frischer Zustand ( kontrollierte Messung, kein Dauerzustand) Source 

Prefill by context

  • 15,416-token-Prompt215 tok/s215–220 prompt tok/s in Wiederholungsmessungen (Bereich); TTFT 70–72 s; balanced prefill nötig, damit der 15,416-token-Prompt admitted wird → approx Source 

What you need

Hardware
1 × Mac / Apple Silicon
Weights
Engine
oMLX 0.6.4 (custom kernels)

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