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GLM-5.3-Flash · Q4_K_M

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NVIDIA RTX 509032GBvLLM 0.7.3L0 Self-reported

This page aggregates 1 real-world runs of GLM-5.3-Flash (Q4_K_M) on NVIDIA RTX 5090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

7.8 tok/s

Decode

Decode speed

58.5 tok/s

Prefill

Prefill speed

1.71 s

TTFT

Time to first token

32 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. SGLang · Q4_K_M Decode 7.6 · Prefill 57 ·
  2. SGLang · IQ4_XS Decode 8.5 · Prefill 63.8 ·
  3. vLLM · Q4_K_M (current)Decode 7.8 · Prefill 58.5 ·
  4. vLLM · IQ3_S Decode 11.8 · Prefill 88.5 ·
  5. vLLM · IQ4_XS Decode 8.8 · Prefill 66 ·
  6. SGLang · IQ3_S Decode 11.3 · Prefill 84.8 ·

Core figures

Decode (avg)
7.8 tok/s
Prefill (avg)
58.5 tok/s
TTFT (avg)
1.71 s
VRAM (avg)
32 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
GLM-5.3-Flash
Quantization
Q4_K_M
Framework
vLLM
Version
0.7.3
Context length
4096 tokens
Batch size
512
GPU layers
99
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 5090
Nominal VRAM
32 GB
Measured VRAM (avg)
32 GB
OS
Linux
Driver
570.65
CUDA
12.6

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Original model resources

Base model resources may not match this quantization. Use the verified deployment weights above when available.

Sources & evidence

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

  1. L0 Self-reportedOtherOriginal link Verified on 2026-10-06

    0.7.3 · Linux · CUDA 12.6 · 4096 ctx

    7.8 tok/s

    Decode

    58.5 tok/s

    Prefill

    1.71 s

    TTFT

    32 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算(add-1000-records-batch3)