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Qwen3-Coder-Next · Q6_K

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Apple M1 ProvLLM v0.48L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-Coder-Next (Q6_K) on Apple M1 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

50.29 tok/s

Decode

Decode speed

161.05 tok/s

Prefill

Prefill speed

2.16 s

TTFT

Time to first token

1.05 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. vLLM · Q6_K (current)Decode 50.29 · Prefill 161.05 ·
  2. Ollama · Q3_K_S Decode 67.45 · Prefill 358.75 ·

Core figures

Decode (avg)
50.29 tok/s
Prefill (avg)
161.05 tok/s
TTFT (avg)
2.16 s
VRAM (avg)
1.05 GB
MTP acceptance rate
—
TTFB
0.4 GB
Power draw
60.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-Coder-Next
Quantization
Q6_K
Framework
vLLM
Version
v0.48
Context length
8192 tokens
Batch size
16
GPU layers
999
Flash Attention
Off

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
Apple M1 Pro
Measured VRAM (avg)
1.05 GB
OS
macOS 15.0
Driver
Apple M1 Pro
CUDA
N/A
Power draw
60.9 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.48 · macOS 15.0 · CUDA N/A · 8192 ctx

    50.29 tok/s

    Decode

    161.05 tok/s

    Prefill

    2.16 s

    TTFT

    1.05 GB

    VRAM

    —

    MTP

    60.9 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=100 running model_id=58 at Q6_K