GLM 5

Name: GLM 5
Author: Zhipu AI

by Zhipu AIGLM

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released February 2026203K context≈ 152,064 words

GLM 5 is a text-focused open-weight model from the GLM family with a notably large context window of roughly 200k tokens, making it capable of processing very long documents in a single pass. It handles text-in, text-out tasks and is released under the MIT license, giving developers broad freedom to use and modify it. Concrete details about its reasoning depth or specialized strengths are limited beyond its architecture.

Capabilities

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

Multilingual

Moderate

Reasoning & Logic

GLM 5

by Zhipu AIGLM

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released February 2026203K context≈ 152,064 words

GLM 5 is a text-focused open-weight model from the GLM family with a notably large context window of roughly 200k tokens, making it capable of processing very long documents in a single pass. It handles text-in, text-out tasks and is released under the MIT license, giving developers broad freedom to use and modify it. Concrete details about its reasoning depth or specialized strengths are limited beyond its architecture.

Capabilities

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

Multilingual

Moderate

Reasoning & Logic

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.MIT LicenseA permissive open-source license that allows free use, modification, and distribution of software with minimal restrictions.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning DepthA model's ability to perform complex multi-step logical thinking and problem-solving; typically increases with model size.Text-In, Text-OutA model that accepts text as input and produces text as output, without support for images, audio, or other data types.TokensThe basic units of text that a language model processes, typically representing words or word fragments.

Capabilities

Capabilities

Use Case Fit

Glossary