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GLM-4.7-Flash

Reasoning modelGLM FlashGLM-4.7

GLM-4.7-Flash

Release date: 2026-01-19Updated: 2026-07-17 23:18:24.8842,490
Live demoGitHubHugging FaceCompare
Parameters
31B
Context length
200K
Chinese support
Supported
Reasoning ability

GLM-4.7-Flash is a reasoning model from Zhipu AI, released on 2026-01-19. It accepts text input and returns text output. The cataloged parameter count is 31B, with 3B active parameters per inference. The recorded context window is 200K, and the recorded maximum output is 128K. 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-Flash

Model basics

Reasoning traces
Supported
Thinking modes
Standard Mode
Context length
200K tokens
Max output length
128K tokens
Model type
Reasoning model
Modality (in / out)
Text → Text
Release date
2026-01-19
Model file size
62.5GB
MoE architecture
Yes
Total params / Active params
31B / 3B
Knowledge cutoff
No data
GLM-4.7-Flash

Open source & experience

Code license
MIT License
Weights license
MIT License- Commercial use permitted
GitHub repo
https://github.com/zai-org/GLM-4
Hugging Face
https://huggingface.co/zai-org/GLM-4.7-Flash
Live demo
https://chat.z.ai
GLM-4.7-Flash

Official resources

Paper
Paper
DataLearnerAI blog
No blog post yet
GLM-4.7-Flash

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-¥0.0000/ 1M¥0.0000/ 1M
GLM-4.7-Flash

Benchmark Results

GLM-4.7-Flash currently shows benchmark results led by τ²-Bench - Telecom (12 / 35, score 96), AIME2025 (37 / 107, score 91.60), τ²-Bench (16 / 43, score 79.50). 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

General Knowledge

4 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
75.20
99 / 188
GPQA Diamond
66
134 / 188
HLE
14.40
137 / 173
HLE
6.10
163 / 173

Coding and Software Engineer

1 evaluations
Benchmark / mode
Score
Rank/total
SWE-bench Verified
59.20
83 / 113

Math and Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
AIME2025
91.60
37 / 107

Agent Level Benchmark

5 evaluations
Benchmark / mode
Score
Rank/total

Instruction Following

2 evaluations
Benchmark / mode
Score
Rank/total
IF Bench
68
19 / 31
IF Bench
55
24 / 31

AI Agent - Information Search

1 evaluations
Benchmark / mode
Score
Rank/total
BrowseComp
42.80
47 / 53
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GLM-4.7-Flash

Publisher

GLM-4.7-Flash

Model Overview

GLM-4.7-Flash is a reasoning model from Zhipu AI, released on 2026-01-19.

It accepts text input and produces text output. Its cataloged capabilities include Reasoning model and Multilingual. The cataloged parameter count is 31B, with 3B active parameters per inference. The recorded context window is 200K, 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 2 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment. The evaluation section contains 14 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-Flash

FAQ

What is GLM-4.7-Flash?

GLM-4.7-Flash is a reasoning model from Zhipu AI, released on 2026-01-19. It accepts text input and returns text output. The cataloged parameter count is 31B, with 3B active parameters per inference. The recorded context window is 200K, and the recorded maximum output is 128K. 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-Flash support?

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

What are the main recorded specifications for GLM-4.7-Flash?

The cataloged parameter count is 31B, with 3B active parameters per inference. The recorded context window is 200K, and the recorded maximum output is 128K. Fields without a source-backed value remain undisclosed.

Does GLM-4.7-Flash have API pricing?

The page records 2 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-Flash?

The evaluation section contains 14 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-Flash 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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