Discover Z.ai: GLM 5 for Complex Systems

GLM 5 empowers developers with advanced planning and reasoning.

Input: text Output: text Context: 202,752 tokens Release: 2026-02-11

Z.ai's GLM 5, released on February 11, 2026, is an open-source foundation model designed for expert developers. With a significant context length of 204,800 tokens, it excels in text-to-text tasks, enabling complex systems design and long-horizon workflows. The model supports various input and output modalities, making it versatile for large-scale programming tasks. Key features include advanced agentic planning and iterative self-correction, allowing for full-system construction and autonomous execution. This model is engineered to rival leading closed-source models, providing production-grade performance for developers looking to enhance their coding capabilities.

Use Cases

Here are a few ways teams apply Z.ai: GLM 5 in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance large-scale programming tasks

Facilitate full-system construction

Automate complex agent workflows

Key Features

A quick look at the capabilities that make this model useful in real projects.

Open-source foundation model

Supports 204,800 token context length

Advanced agentic planning capabilities

Iterative self-correction for improved performance

Designed for complex systems and workflows

Specs

Overview

Vendor
z-ai

Model ID
z-ai/glm-5

Release
2026-02-11

Modalities & context

Input
text

Output
text

Context
202,752 tokens

Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Defaults: temperature 1, top_p 0.95

Benchmark tests: Z.ai: GLM 5

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

AI promises to fundamentally reshape society by liberating us from the mundane. In the realm of work, automation will likely eradicate repetitive drudgery, allowing humans to pivot toward strategic thinking, empathy-driven roles, and complex problem-solving. This shift could redefine productivity, focusing on value created rather than hours logged. Creativity stands to be democratized; AI tools will lower barriers to entry, enabling anyone to manifest their visions through art, music, or code. It acts not as a replacement, but as a collaborative partner that accelerates ideation and refines execution. Consequently, leisure will undergo a renaissance. As efficiency rises, the rigid boundary between work and life may soften, granting us more time for exploration and connection. Personalized entertainment and immersive virtual experiences will enrich our downtime. Ultimately, AI’s positive disruption lies in its potential to return agency to humanity, fostering a future where we spend less time surviving and more time thriving.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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