What are the hardware requirements for GLM 4.6?

GLM 4.6 requires approximately 335.4 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 4.6 and how large is it?

GLM 4.6 is developed by unsloth, a model with 356.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GLM 4.6 perform on standard benchmarks?

GLM 4.6 has the following published scores: LMSYS ELO 1377. Compare against reference models on this page or on the LLM Explorer leaderboards.

GLM 4.6 by unsloth — VRAM 335.4GB, 198K context

Name: GLM 4.6
Author: unsloth

GLM 4.6 is an open-source language model by unsloth. Features: 356.8b LLM, VRAM: 335.4GB, Context: 198K, License: mit, LLM Explorer Score: 0.34, ELO: 1377.

Arxiv:2508.06471 Base model:finetune:zai-org/gl... Base model:zai-org/glm-4.6 Conversational En Endpoints compatible Glm4 moe Region:us Safetensors Sharded Tensorflow Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/unsloth/GLM-4.6

GLM 4.6 Benchmarks

LMSys ELO 1377 vs 1272 (so35) 8.3%

^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)

GLM 4.6 Parameters and Internals

LLM Name	GLM 4.6
Repository 🤗	https://huggingface.co/unsloth/GLM-4.6
Base Model(s)	zai-org/GLM-4.6 zai-org/GLM-4.6
Model Size	356.8b
Required VRAM	335.4 GB
Updated	2026-05-25
Maintainer	unsloth
Model Type	glm4_moe
Model Files	2.2 GB: 1-of-92 0.7 GB: 2-of-92 0.7 GB: 3-of-92 7.9 GB: 4-of-92 7.9 GB: 5-of-92 7.9 GB: 6-of-92 7.9 GB: 7-of-92 7.9 GB: 8-of-92 7.9 GB: 9-of-92 7.9 GB: 10-of-92 7.9 GB: 11-of-92 7.9 GB: 12-of-92 7.9 GB: 13-of-92 7.9 GB: 14-of-92 7.9 GB: 15-of-92 7.9 GB: 16-of-92 7.9 GB: 17-of-92 7.9 GB: 18-of-92 7.9 GB: 19-of-92 7.9 GB: 20-of-92 7.9 GB: 21-of-92 7.9 GB: 22-of-92 7.9 GB: 23-of-92 7.9 GB: 24-of-92 7.9 GB: 25-of-92 7.9 GB: 26-of-92 7.9 GB: 27-of-92 7.9 GB: 28-of-92 7.9 GB: 29-of-92 7.9 GB: 30-of-92 7.9 GB: 31-of-92 7.9 GB: 32-of-92 7.9 GB: 33-of-92 7.9 GB: 34-of-92 7.9 GB: 35-of-92 7.9 GB: 36-of-92 7.9 GB: 37-of-92 7.9 GB: 38-of-92 7.9 GB: 39-of-92 7.9 GB: 40-of-92 7.9 GB: 41-of-92 7.9 GB: 42-of-92 7.9 GB: 43-of-92 7.9 GB: 44-of-92 7.9 GB: 45-of-92
Supported Languages	en zh
Model Architecture	Glm4MoeForCausalLM
License	mit
Context Length	202752
Model Max Length	202752
Transformers Version	4.57.3
Vocabulary Size	151552
Torch Data Type	bfloat16

Rank the GLM 4.6 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to GLM 4.6

Best Alternatives	Context / RAM	Downloads	Likes
GLM 4.6	198K / 335.4 GB	12995	1230

Note: green Score (e.g. "73.2") means that the model is better than unsloth/GLM-4.6.