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Text modelsZ.ai

GLM-5.3: model overview

GLM-5.3 is a Z.ai text model for programming and multi-step work. It uses the GLM-5.2 base model with changes introduced through post-training. Coding-agent evaluation results depend on the model as well as its harness, tools, and execution budget.

External model reference page. This page does not confirm availability in Neiron.

Content updated:

Capabilities

Analyze and write code from a written brief.

Plan a sequence of technical actions.

Select low, high, or max reasoning in a compatible environment.

Use cases

Use GLM-5.3 when you need repository work, code repair, or a multi-step engineering task.Compare GLM-5.3 with related GLM-5 models if the task allows a different input or output format.Before starting, confirm the input format and expected result (text, code, or an implementation plan).

Reviewed facts

Developer
Z.ai
Purpose
Language model, Coding, Reasoning, Agentic workflows
Input
Text
Output
Text
Verified
2026-09-15

Benchmarks

No comparable benchmark is recorded in this card.

Sources

What to verify before use

The weights use the separate GLM-5.3 license; another family member’s MIT terms do not automatically apply.
The model alone has no access to a terminal, repository, or server; actions require a separately configured agent environment.
Weights license: GLM-5.3 License. Check the developer repository for the applicable terms.

Prompts

These are example briefs for your own evaluation, not test results. A reference page does not imply Neiron access to the model.

Prompt example

Review this API upgrade plan. Identify breaking changes, a check for each risk, and rollback conditions. Add no operations absent from the plan.

Prompt example

Form two failure hypotheses from this trace. State an observation that distinguishes each from the other; do not propose a fix yet.

Prompt example

Compare two algorithms on empty input, duplicate elements, and a large dataset. Separate proven complexity from assumptions about speed.

FAQ

What can GLM-5.3 be used for?

GLM-5.3 is a Z.ai text model for programming and multi-step work. It uses the GLM-5.2 base model with changes introduced through post-training. Coding-agent evaluation results depend on the model as well as its harness, tools, and execution budget.

How do I distinguish variants and capabilities?

GLM-5.3 and GLM-5.3 Flash have distinct model cards and constraints. An agent with terminal tools in a developer evaluation does not mean a regular chat executes commands.

How should I compare outputs on my own task?

Use the same source material and prompt. Write down which facts or details must be preserved. The examples on this page are evaluation briefs, not results of a Neiron test.