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GLM-4.7

Chat modelGLMGLM-4.7

GLM-4.7

Release date: 2025-12-22Updated: 2026-07-17 21:57:59.9904,101
Live demoGitHubHugging FaceCompare
Parameters
358B
Context length
200K
Chinese support
Supported
Reasoning ability

GLM-4.7 is a chat model from Zhipu AI, released on 2025-12-22. It accepts text input and returns text output. The cataloged parameter count is 358B, with 32B active parameters per inference. The recorded context window is 200K, and the recorded maximum output is 132072. Cataloged capabilities include Reasoning model and Multilingual. 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-4.7

Model basics

Reasoning traces
Supported
Thinking modes
Standard ModeThinking Level · Extended
Context length
200K tokens
Max output length
132072 tokens
Model type
Chat model
Modality (in / out)
Text → Text
Release date
2025-12-22
Model file size
No data
MoE architecture
Yes
Total params / Active params
358B / 32B
Knowledge cutoff
No data
GLM-4.7

Open source & experience

Code license
MIT License
Weights license
MIT License- Commercial use permitted
GitHub repo
https://github.com/zai-org/GLM-4.5
Hugging Face
https://huggingface.co/zai-org/GLM-4.7
Live demo
https://chat.z.ai/
GLM-4.7

Official resources

Paper
Paper
DataLearnerAI blog
No blog post yet
GLM-4.7

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Learn about pricing modes
Standard
TypeConditionInputOutput
Text-¥4.00/ 1M¥16.00/ 1M
Cache PricingPrompt Cache
TypeTTLWriteRead
Text-¥0.0000/ 1M¥2.00/ 1M
GLM-4.7

Benchmark Results

GLM-4.7 currently shows benchmark results led by LiveCodeBench (17 / 123, score 84.90), τ²-Bench (6 / 43, score 87.40), AIME2025 (23 / 107, score 95.70). 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

5 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
85.70
49 / 188
MMLU Pro
84.30
37 / 132
LiveBench
Standard Mode
58.09
78 / 115
HLE
42.80
52 / 173
HLE
24.80
103 / 173

Coding and Software Engineer

3 evaluations
Benchmark / mode
Score
Rank/total
LiveCodeBench
84.90
17 / 123
SWE-bench Verified
73.80
44 / 113
SWE-Bench Pro - Public
40.60
51 / 55

Math and Reasoning

3 evaluations
Benchmark / mode
Score
Rank/total
AIME2025
95.70
23 / 107
AIME 2026
92.90
9 / 19
FrontierMath - Tier 4
Standard Mode
2.10
56 / 80

Common Sense Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
Simple Bench
Thinking Mode
47.70
29 / 63

Agent Level Benchmark

2 evaluations
Benchmark / mode
Score
Rank/total
τ²-Bench
87.40
6 / 43
Terminal Bench Hard
33.30
7 / 13

AI Agent - Information Search

1 evaluations
Benchmark / mode
Score
Rank/total
BrowseComp
52
41 / 53

AI Agent - Tool Usage

2 evaluations
Benchmark / mode
Score
Rank/total
MCP-Atlas
Standard ModeTools
58.10
23 / 28
Terminal Bench 2.0
41
44 / 47
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GLM-4.7

Publisher

GLM-4.7

Model Overview

GLM-4.7 is a chat model from Zhipu AI, released on 2025-12-22.

It accepts text input and produces text output. Its cataloged capabilities include Reasoning model and Multilingual. The cataloged parameter count is 358B, with 32B active parameters per inference. The recorded context window is 200K, and the recorded maximum output is 132072.

The checkpoint is listed under the MIT license, with the license link included in the model references. The page records 6 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment. The evaluation section contains 17 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-4.7

FAQ

What is GLM-4.7?

GLM-4.7 is a chat model from Zhipu AI, released on 2025-12-22. It accepts text input and returns text output. The cataloged parameter count is 358B, with 32B active parameters per inference. The recorded context window is 200K, and the recorded maximum output is 132072. Cataloged capabilities include Reasoning model and Multilingual. 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-4.7 support?

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

What are the main recorded specifications for GLM-4.7?

The cataloged parameter count is 358B, with 32B active parameters per inference. The recorded context window is 200K, and the recorded maximum output is 132072. Fields without a source-backed value remain undisclosed.

Does GLM-4.7 have API pricing?

The page records 6 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment.

Are benchmark results available for GLM-4.7?

The evaluation section contains 17 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is GLM-4.7 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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