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GLM-5.2

Reasoning modelCoding modelGLMGLM-5

GLM-5.2

Release date: 2026-06-13Updated: 2026-07-17 21:57:18.50317,731
Parameters
753.33B
Context length
1M
Chinese support
Supported
Reasoning ability

GLM-5.2 is a reasoning model from Zhipu AI, released on 2026-06-13. It accepts text input and returns text output. The cataloged parameter count is 753.33B, with 40B active parameters per inference. The recorded context window is 1M, and the recorded maximum output is 128K. Cataloged capabilities include Reasoning model, Multilingual, and Coding model. The checkpoint is listed under the MIT license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

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
About 1.5 TB (BF16 safetensors)
MoE architecture
Yes
Total params / Active params
753.33B / 40B
Knowledge cutoff
No data
GLM-5.2

Open source & experience

Code license
Weights license
MIT License- Commercial use permitted
GLM-5.2

Official resources

Paper
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.
Standard
TypeConditionInputOutput
Text-$1.40/ 1M$4.40/ 1M
Cache PricingPrompt Cache
TypeTTLWriteRead
Text--$0.260/ 1M
GLM-5.2

Benchmark Results

GLM-5.2 currently shows benchmark results led by IMO-AnswerBench (1 / 21, score 91), AIME 2026 (1 / 18, score 99.20), HLE (13 / 172, score 54.70). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking
Tool usage

General Knowledge

4 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
Thinking Mode
91.20
16 / 187
LiveBench
Standard Mode
76.24
9 / 115
HLE
Thinking Mode
40.50
61 / 172
HLE
Thinking ModeTools
54.70
13 / 172

Common Sense Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
Simple Bench
Standard Mode
58.80
17 / 63

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total
SWE-Bench Pro - Public
Thinking ModeTools
62.10
8 / 54
DeepSWE
DeepTools
44
15 / 20

Math and Reasoning

2 evaluations
Benchmark / mode
Score
Rank/total
AIME 2026
Thinking Mode
99.20
1 / 18
IMO-AnswerBench
Thinking Mode
91
1 / 21

AI Agent - Tool Usage

1 evaluations
Benchmark / mode
Score
Rank/total
81
10 / 28

Compare with other models

GLM-5.2

Publisher

GLM-5.2

Model Overview

GLM-5.2 is a reasoning model from Zhipu AI, released on 2026-06-13.

It accepts text input and produces text output. Its cataloged capabilities include Reasoning model, Multilingual, and Coding model. The cataloged parameter count is 753.33B, with 40B active parameters per inference. The recorded context window is 1M, and the recorded maximum output is 128K.

The checkpoint is listed under the MIT license, with the license link included in the model references. The page records 3 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment. The evaluation section contains 10 cataloged benchmark results with their recorded modes and scores. The page links 4 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

GLM-5.2

FAQ

What is GLM-5.2?

GLM-5.2 is a reasoning model from Zhipu AI, released on 2026-06-13. It accepts text input and returns text output. The cataloged parameter count is 753.33B, with 40B active parameters per inference. The recorded context window is 1M, and the recorded maximum output is 128K. Cataloged capabilities include Reasoning model, Multilingual, and Coding model. The checkpoint is listed under the MIT license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

What input and output modalities does GLM-5.2 support?

The current model record lists text as input and text as output.

What are the main recorded specifications for GLM-5.2?

The cataloged parameter count is 753.33B, with 40B active parameters per inference. The recorded context window is 1M, and the recorded maximum output is 128K. Fields without a source-backed value remain undisclosed.

Does GLM-5.2 have API pricing?

The page records 3 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment.

Are benchmark results available for GLM-5.2?

The evaluation section contains 10 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is GLM-5.2 open source?

The checkpoint is listed under the MIT license, with the license link included in the model references. Review the linked license text before commercial or derivative use.

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