What are the hardware requirements for GLM 5.3 Flash?

GLM 5.3 Flash requires approximately 237.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash and how large is it?

GLM 5.3 Flash is developed by zai-org, a model with 321.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GLM 5.3 Flash perform on standard benchmarks?

GLM 5.3 Flash has the following published scores: LMSYS ELO 1473. Compare against reference models on this page or on the LLM Explorer leaderboards.

GLM 5.3 Flash by zai-org — VRAM 237.5GB

Name: GLM 5.3 Flash
Author: zai-org

GLM 5.3 Flash is an open-source language model by zai-org. Features: 321.3b LLM, VRAM: 237.5GB, License: mit, LLM Explorer Score: 0.55, ELO: 1473.

Arxiv:2602.15763 Conversational En Endpoints compatible Eval-results Fp8 Glm5 next Image-text-to-text Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/zai-org/GLM-5.3-Flash

GLM 5.3 Flash Benchmarks

LMSys ELO 1473 vs 1272 (so35) 15.8%

^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 5.3 Flash Parameters and Internals

LLM Name	GLM 5.3 Flash
Repository 🤗	https://huggingface.co/zai-org/GLM-5.3-Flash
Model Size	321.3b
Required VRAM	237.5 GB
Updated	2026-08-27
Maintainer	zai-org
Model Type	glm5_next
Model Files	5.4 GB: 1-of-62 5.3 GB: 2-of-62 5.4 GB: 3-of-62 5.4 GB: 4-of-62 5.4 GB: 5-of-62 5.4 GB: 6-of-62 5.4 GB: 7-of-62 5.4 GB: 8-of-62 5.4 GB: 9-of-62 5.4 GB: 10-of-62 5.4 GB: 11-of-62 5.4 GB: 12-of-62 5.4 GB: 13-of-62 5.4 GB: 14-of-62 5.4 GB: 15-of-62 5.4 GB: 16-of-62 5.4 GB: 17-of-62 5.4 GB: 18-of-62 5.4 GB: 19-of-62 5.4 GB: 20-of-62 5.4 GB: 21-of-62 5.4 GB: 22-of-62 5.4 GB: 23-of-62 5.4 GB: 24-of-62 5.4 GB: 25-of-62 5.4 GB: 26-of-62 5.4 GB: 27-of-62 5.4 GB: 28-of-62 5.4 GB: 29-of-62 5.4 GB: 30-of-62 5.4 GB: 31-of-62 5.4 GB: 32-of-62 5.4 GB: 33-of-62 5.4 GB: 34-of-62 5.4 GB: 35-of-62 5.4 GB: 36-of-62 5.4 GB: 37-of-62 5.4 GB: 38-of-62 5.4 GB: 39-of-62 5.4 GB: 40-of-62 5.4 GB: 41-of-62 5.4 GB: 42-of-62 5.4 GB: 43-of-62 5.4 GB: 44-of-62
Supported Languages	en zh
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flash 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

Quantized Models of the GLM 5.3 Flash

Model	Likes	Downloads	VRAM
GLM 5.3 Flash AWQ W4A16	9	4247	176 GB
GLM 5.3 Flash MLX 8bit	3	2340	9 GB
GLM 5.3 Flash 4bit	2	364	150 GB
GLM 5.3 Flash MLX 4bit MTP	5	2953	182 GB
GLM 5.3 Flash AWQ INT4	7	427	212 GB
GLM 5.3 Flash MLX 4bit	2	2535	0 GB
GLM 5.3 Flash MLX Mixed 4 8bit	3	1954	1 GB
GLM 5.3 Flash JANG MTP	1	277	102 GB
GLM 5.3 Flash MLX 6bit	1	1334	9 GB
GLM 5.3 Flash JANG	1	247	102 GB

Best Alternatives to GLM 5.3 Flash

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash BF16	0K / 237.1 GB	24	38
Apex Flash 1 Abliterated	0K / 460.9 GB	539	40
Apex Flash 1	0K / 460.9 GB	367	37
RED SNOW 5.3 FLASH BF16	0K / 215.5 GB	317	9
GLM 5.3 Flash FP8	0K / 237.5 GB	5048	22
... 5.3 Flash CYBERSECURITY W4A16	0K / 71.6 GB	4022	8
GLM 5.3 Flash ABLITERATED FP8	0K / 226.7 GB	1465	18
GLM 5.3 Flash	0K / 242.5 GB	1034	15
GLM 5.3 Flash OQ2e Mtp	0K / 110.4 GB	218	1
GLM 5.3 Flash Nota NVFP4	0K / 21 GB	160	17