GLM 4.7

Name: GLM 4.7
Author: Zhipu AI

by Zhipu AIGLM

Open WeightModel weights are publicly available — can be downloaded and self-hostedAPIAvailable through a hosted API — pay per token, no self-hosting required

Released December 2025203K context≈ 152,064 words

GLM 4.7 is a compact, open-weight Chinese-English bilingual model that handles everyday reasoning and text tasks with a pragmatic, no-frills style. It tends to be direct and functional rather than verbose, making it comfortable for structured tasks like summarization, Q&A, and light coding. As a smaller model, it trades some depth on complex multi-step reasoning for accessibility and ease of deployment.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Coding

Moderate

Reasoning & Logic

GLM 4.7

by Zhipu AIGLM

Open WeightModel weights are publicly available — can be downloaded and self-hostedAPIAvailable through a hosted API — pay per token, no self-hosting required

Released December 2025203K context≈ 152,064 words

GLM 4.7 is a compact, open-weight Chinese-English bilingual model that handles everyday reasoning and text tasks with a pragmatic, no-frills style. It tends to be direct and functional rather than verbose, making it comfortable for structured tasks like summarization, Q&A, and light coding. As a smaller model, it trades some depth on complex multi-step reasoning for accessibility and ease of deployment.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Coding

Moderate

Reasoning & Logic

Glossary

AccessibilityDesigning technology so people with disabilities can use it effectively.BilingualA model trained to understand and generate text in two languages, in this case Japanese and English.Bilingual ModelA language model trained to understand and generate text in two languages with comparable fluency.Multi-Step ReasoningThe ability to break down complex problems into smaller steps and solve them sequentially, rather than jumping directly to an answer.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.

Capabilities

Capabilities

Use Case Fit

Glossary