GLM 5.1

Name: GLM 5.1
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

200K context≈ 150,000 words

GLM 5.1 is a focused text-to-text model that carries the pragmatic, no-frills character of Tsinghua's GLM lineage. It handles reasoning and language tasks with a straightforward approach, making it accessible for developers who want an open-weight option they can run and modify locally. Its open-weight nature means flexibility comes built-in, though it trades some of the multimodal breadth found in larger proprietary systems.

Capabilities

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

Long Context

Moderate

Creative Writing

GLM 5.1

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

200K context≈ 150,000 words

GLM 5.1 is a focused text-to-text model that carries the pragmatic, no-frills character of Tsinghua's GLM lineage. It handles reasoning and language tasks with a straightforward approach, making it accessible for developers who want an open-weight option they can run and modify locally. Its open-weight nature means flexibility comes built-in, though it trades some of the multimodal breadth found in larger proprietary systems.

Capabilities

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

Long Context

Moderate

Creative Writing

Glossary

MultimodalA model that can process and understand multiple types of input, such as both text and images.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Text ModelA language model that processes and generates only text, without support for images, audio, or other media types.Text-to-TextA framework where all NLP tasks are treated as converting input text into output text, so translation, summarization, and classification use the same model structure.Text-to-Text ModelA machine learning model that takes text as input and produces text as output, useful for tasks like translation, summarization, or question answering.

Capabilities

Capabilities

Use Case Fit

Glossary