What are the hardware requirements for GLM 5?

GLM 5 requires approximately 237.3 GB of VRAM and supports a context window of 198K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5 and how large is it?

GLM 5 is developed by zai-org, a model with 753.9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GLM 5 perform on standard benchmarks?

GLM 5 has the following published scores: LMSYS ELO 1456. Compare against reference models on this page or on the LLM Explorer leaderboards.

GLM 5 by zai-org — VRAM 237.3GB, 198K context

Name: GLM 5
Author: zai-org

GLM 5 is an open-source language model by zai-org. Features: 753.9b LLM, VRAM: 237.3GB, Context: 198K, License: mit, MoE, LLM Explorer Score: 0.67, ELO: 1456.

Arxiv:2602.15763 Conversational En Endpoints compatible Eval-results Glm moe dsa Moe Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/zai-org/GLM-5

GLM 5 Benchmarks

LMSys ELO: 1456 vs 1272 (so35)^14.5%

LLME Score: 0.67103

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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GLM 5 Parameters and Internals

LLM Name	GLM 5
Repository 🤗	https://huggingface.co/zai-org/GLM-5
Model Size	753.9b
Required VRAM	237.3 GB
Updated	2026-05-01
Maintainer	zai-org
Model Type	glm_moe_dsa
Model Files	5.3 GB: 1-of-282 5.3 GB: 2-of-282 5.4 GB: 3-of-282 5.4 GB: 4-of-282 5.4 GB: 5-of-282 5.4 GB: 6-of-282 5.4 GB: 7-of-282 5.4 GB: 8-of-282 5.4 GB: 9-of-282 5.4 GB: 10-of-282 5.4 GB: 11-of-282 5.4 GB: 12-of-282 5.4 GB: 13-of-282 5.4 GB: 14-of-282 5.4 GB: 15-of-282 5.4 GB: 16-of-282 5.4 GB: 17-of-282 5.4 GB: 18-of-282 5.4 GB: 19-of-282 5.4 GB: 20-of-282 5.4 GB: 21-of-282 5.4 GB: 22-of-282 5.4 GB: 23-of-282 5.4 GB: 24-of-282 5.4 GB: 25-of-282 5.4 GB: 26-of-282 5.4 GB: 27-of-282 5.4 GB: 28-of-282 5.4 GB: 29-of-282 5.4 GB: 30-of-282 5.4 GB: 31-of-282 5.4 GB: 32-of-282 5.4 GB: 33-of-282 5.4 GB: 34-of-282 5.4 GB: 35-of-282 5.4 GB: 36-of-282 5.4 GB: 37-of-282 5.4 GB: 38-of-282 5.3 GB: 39-of-282 5.4 GB: 40-of-282 5.4 GB: 41-of-282 5.4 GB: 42-of-282 5.4 GB: 43-of-282 5.4 GB: 44-of-282
Supported Languages	en zh
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.2.dev0
Vocabulary Size	154880

Quantized Models of the GLM 5

Model	Likes	Downloads	VRAM
GLM 5 4bit	6	1601	210 GB

Best Alternatives to GLM 5

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.1	198K / 237.3 GB	23998	1001
GLM 5.1 FP8	198K / 237.6 GB	934979	102
GLM 5.1 Abliterated	198K / 226.8 GB	166	4
GLM 5.1 FP8	198K / 243 GB	860	5
GLM 5.1 AWQ	198K / 119.9 GB	978	6

Rank the GLM 5 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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GLM 5 by zai-org