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Qwen3-Coder-Next · IQ4_XS

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Apple M1vLLM v0.51L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-Coder-Next (IQ4_XS) on Apple M1 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

47.87 tok/s

Decode

Decode speed

181.96 tok/s

Prefill

Prefill speed

1.27 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 · IQ4_XS (current)Decode 47.87 · Prefill 181.96 ·
  2. Ollama · FP16 Decode 21.35 · Prefill 72.87 ·
  3. Ollama · Q3_K_L Decode 41.49 · Prefill 134.08 ·

Core figures

Decode (avg)
47.87 tok/s
Prefill (avg)
181.96 tok/s
TTFT (avg)
1.27 s
VRAM (avg)
1.05 GB
MTP acceptance rate
—
TTFB
0.38 GB
Power draw
20.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-Coder-Next
Quantization
IQ4_XS
Framework
vLLM
Version
v0.51
Context length
32768 tokens
Batch size
32
GPU layers
999
Flash Attention
On

Hardware

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

GPU
Apple M1
Measured VRAM (avg)
1.05 GB
OS
macOS 15.0
Driver
Apple M1
CUDA
N/A
Power draw
20.8 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

    v0.51 · macOS 15.0 · CUDA N/A · 32768 ctx

    47.87 tok/s

    Decode

    181.96 tok/s

    Prefill

    1.27 s

    TTFT

    1.05 GB

    VRAM

    —

    MTP

    20.8 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=99 running model_id=58 at IQ4_XS