GLM-5.2

Name: GLM-5.2
Price: 1.4 USD
Availability: InStock
Author: 智谱AI

Reasoning modelCoding modelGLM-5

GLM-5.2

Release date: 2026-06-13Updated: 2026-06-17 07:42:33.1485,589

Live demo GitHub Hugging Face Compare

Parameters

753.33B

Context length

Chinese support

Supported

Reasoning ability

智谱 AI / Z.ai 于 2026 年 6 月发布的 GLM-5 系列旗舰模型，面向长程工程任务和 Agentic Coding，支持 1M 上下文、128K 输出和可调思考强度，并以 MIT License 开源。

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

GLM-5.2

Model basics

Reasoning traces

Supported

Thinking modes

Thinking Level · High (Default)Standard ModeThinking Level · Max

Context length

1M tokens

Max output length

128K tokens

Model type

Reasoning model

Modality (in / out)

Text → Text

Release date

2026-06-13

Model file size

约 1.5 TB（BF16 safetensors）

MoE architecture

Yes

Total params / Active params

753.33B / N/A

Knowledge cutoff

No data

GLM-5.2

Open source & experience

Code license

MIT License

Weights license

MIT License- 免费商用授权

GitHub repo

https://github.com/zai-org/GLM-5

Hugging Face

https://huggingface.co/zai-org/GLM-5.2

Live demo

https://chat.z.ai/

GLM-5.2

Official resources

Paper

GLM-5: from Vibe Coding to Agentic Engineering

DataLearnerAI blog

No blog post yet

GLM-5.2

API details

API speed

3/5

💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.

Learn about pricing modes

Standard

Type	Condition	Input	Output
Text	-	$1.40/ 1M	$4.40/ 1M

Cache PricingPrompt Cache

Type	TTL	Write	Read
Text	-	-	$0.260/ 1M

GLM-5.2

Benchmark Results

GLM-5.2 currently shows benchmark results led by IMO-AnswerBench (1 / 20, score 91), HLE (8 / 159, score 54.70), AIME 2026 (1 / 15, score 99.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.