Back to search results

GLM-5.3-Flash · IQ3_S

Start a discussion
NVIDIA RTX 5070 Ti16GBSGLang 0.4.4L0 Self-reported

This page aggregates 1 real-world runs of GLM-5.3-Flash (IQ3_S) on NVIDIA RTX 5070 Ti with SGLang, contributed by 1 independent source platforms; metrics are averages of published measurements.

5.7 tok/s

Decode

Decode speed

42.8 tok/s

Prefill

Prefill speed

2.34 s

TTFT

Time to first token

16 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 3.8 · Prefill 28.5 ·
  2. SGLang · IQ3_S (current)Decode 5.7 · Prefill 42.8 ·
  3. SGLang · IQ4_XS Decode 4.3 · Prefill 32.3 ·
  4. vLLM · Q4_K_M Decode 3.9 · Prefill 29.3 ·
  5. vLLM · IQ3_S Decode 5.9 · Prefill 44.3 ·
  6. vLLM · IQ4_XS Decode 4.4 · Prefill 33 ·
  7. Strata · IQ2_XS Decode 8.3 · Prefill 62.3 ·

Core figures

Decode (avg)
5.7 tok/s
Prefill (avg)
42.8 tok/s
TTFT (avg)
2.34 s
VRAM (avg)
16 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
IQ3_S
Framework
SGLang
Version
0.4.4
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 5070 Ti
Nominal VRAM
16 GB
Measured VRAM (avg)
16 GB
OS
Linux
Driver
570.65
CUDA
12.6

Get started

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

    0.4.4 · Linux · CUDA 12.6 · 4096 ctx

    5.7 tok/s

    Decode

    42.8 tok/s

    Prefill

    2.34 s

    TTFT

    16 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算(add-1000-records-batch3)