Agents / Z.ai

GLM-5.3 Flash

Z.ai’s open-weight 321B-total / 18B-active multimodal agent model. Self-host the native FP8 checkpoint on a documented multi-GPU Linux server or rented GPU Pod; use Strix for an authorized repository review.

Verified sourceRepository opened Aug 25, 2026Source checked 10/14/2026Version: eb9eb208
LOCALRENTED GPUOPEN WEIGHTS
Freshness 82 out of 100. Repository age: 51 days old, Aug 25, 2026. Measures age, not quality.
Popularity 92 out of 100. 6,531,090 downloads in 30 days; 2,855 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Agents: rank 9 of 18. Ranked model: GLM 5.3 Flash. Export dated Oct 14, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.
Category rankings & sources

Each position belongs to a separate Arena category. These are human preference rankings—not hardware recommendations. We do not combine the categories into one score.

Agents#9of 18 open models
GLM 5.3 FlashzaiLicense: MIT
Export dated Oct 14, 2026Checked: Oct 15, 2026Overall board: #35
View official Agents board
Web coding#8of 55 open models
glm-5.3-flashzaiLicense: MIT
Export dated Oct 13, 2026Checked: Oct 15, 2026Overall board: #27
View official Web coding board
Text#6of 225 open models
glm-5.3-flashzaiLicense: MIT
Export dated Oct 13, 2026Checked: Oct 15, 2026Overall board: #41
View official Text board
Vision#1of 49 open models
glm-5.3-flashzaiLicense: MIT
Export dated Oct 9, 2026Checked: Oct 15, 2026Overall board: #35
View official Vision board

Rankings reflect the dated export; live Arena boards can change. Open-source positions use Arena’s open-model filter. The overall position also includes the other models on that category board. Availability of weights and license terms still need to be checked separately.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method
WORKFLOWS FOR THIS MODEL 3

What do you want to do?

Choose a task. Get the software, files, settings, and steps to run it.

MAKE IT PERSONALChoose your hardware
AI agent

Build a private AI agent with GLM-5.3 Flash

Serve GLM-5.3 Flash · FP8 privately, connect Hermes to the model endpoint, and have the agent inspect files and produce a review checklist.

Freshness 82 out of 100. Repository age: 51 days old, Aug 25, 2026. Measures age, not quality.
Popularity 92 out of 100. 6,531,090 downloads in 30 days; 2,855 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Agents: rank 9 of 18. Ranked model: GLM 5.3 Flash. Original model ranking, not a benchmark of this package. Export dated Oct 14, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+3
Hermes AgentvLLM CUDA Docker
1 packageLinux
Open agent guide
Coding

Code with GLM-5.3 Flash in VS Code + Cline

Serve GLM-5.3 Flash · FP8 privately, connect VS Code and Cline, then review and test a real code change.

Freshness 82 out of 100. Repository age: 51 days old, Aug 25, 2026. Measures age, not quality.
Popularity 92 out of 100. 6,531,090 downloads in 30 days; 2,855 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Agents: rank 9 of 18. Ranked model: GLM 5.3 Flash. Original model ranking, not a benchmark of this package. Export dated Oct 14, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+3
VS Code + ClinevLLM CUDA Docker
1 packageLinux
Open coding guide
AI agent

Run GLM-5.3 with Strix for Authorized Security Reviews

Choose GLM-5.3 Flash or full GLM-5.3, then run Strix with a self-hosted Linux cluster, rented RunPod GPUs, or the OpenRouter hosted API to review a disposable repository you are authorized to assess.

Freshness 82 out of 100. Repository age: 51 days old, Aug 25, 2026. Measures age, not quality.
Popularity 92 out of 100. 6,531,090 downloads in 30 days; 2,855 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
Arena Open Source Agents: rank 9 of 18. Ranked model: GLM 5.3 Flash. Original model ranking, not a benchmark of this package. Export dated Oct 14, 2026. Source checked Oct 15, 2026. Human preference ranking, not hardware suitability.+3
vLLMStrix
1 packageLinux
Opens with GLM-5.3 Flash · native FP8Open agent guide

Open a guide for its software, hardware requirements, and setup steps.

At a glance

Parameters
321B total · 18B active
Architecture
Mixture of experts; hybrid KDA and sparse MLA
Context length
1,048,576 architectural maximum; practical limit depends on GPU memory
License
MIT
Disk space
306 GB
Software
vLLM, Strix, RunPod
MY HARDWARE

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Best for

  • Self-host a tool-using agent for an authorized source-code security review.
  • Serve a private multimodal reasoning model on a suitable multi-GPU Linux host.

Tradeoffs

  • The 1M architectural context is not a practical default on the recommended hardware.
  • Native FP8 weights cannot run on a single consumer GPU; no compact quantized package is verified in this guide.
  • No native Windows or Apple Silicon GPU-server route is claimed.

Ways to run it

vLLM · Linux · 4× GB200 or rented RunPod Pod

Publisher standard NVIDIA topology; verify the current vLLM container and FlashInfer version. The specialized text-only H200 offload result is a separate recipe.

vllm serve zai-org/GLM-5.3-Flash --host 127.0.0.1 --port 8000 --tensor-parallel-size 4 --max-model-len 16384 --tool-call-parser glm47 --reasoning-parser glm47 --enable-auto-tool-choice
Official instructions

vLLM ROCm · Linux · 4× MI355X

Use the AMD-specific publisher recipe and compatible ROCm build.

Official instructions

Explore its uses

SAFETENSORSIMAGE-TEXT-TO-TEXTAGENTSCODINGREASONINGTOOL CALLINGMULTIMODALFP8SELF-HOSTED
REFERENCE LIBRARY

Sources and files

Primary sources and files behind this model page.

3 SOURCES

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