LocalClaw/LLM/GLM-5.1
Open-weight MoE

GLM-5.1

Z.ai next-generation flagship for agentic engineering. Stronger coding, long-horizon tool use, SWE-Bench Pro, Terminal-Bench and repo generation. MIT licensed.

Server-grade 640 GB RAM Q4_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
754B MoE
Minimum RAM
640 GB
Model size
430 GB
Quantization
Q4_K_M

Can GLM-5.1 run locally?

GLM-5.1 is server-grade locally. Keep it for comparison unless you have very large unified memory, multiple GPUs or remote inference.

Search for glm-5.1 in LM Studio or another GGUF-compatible runtime.

zai-org/GLM-5.1
chatcodereasoningqualityagenticgeneral

Install path

01
Check RAM fitMinimum 640 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch glm-5.1 in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Z.ai next-generation flagship for agentic engineering. Stronger coding, long-horizon tool use, SWE-Bench Pro, Terminal-Bench and repo generation. MIT licensed.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • code
  • reasoning
  • quality
  • agentic
  • general

Capability profile

speed
2
quality
10
coding
10
reasoning
10

Technical notes

Developer
glm
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Very large memoryMac Studio Ultra classCheck model size firstNVIDIA GB10 / server optionsMore practical alternativesCompare smaller models

Where to go next