Models

GLM-5

Open model line from Z.ai focused on agentic engineering and longer coding workflows.

MIT License
Open source
GLM-5 MIT License chat.z.ai verified 2026-04-19
About

GLM-5 overview

GLM-5 is Z.ai's open model line positioned around agentic engineering: workflows where a model reasons across files, tools, tests, and implementation steps rather than only completing code snippets.

Agentic engineering direction

GLM-5 is framed around engineering workflows that involve planning, tool use, code edits, and verification.

That makes it more relevant to coding agents than a model that only optimizes short answer quality.

Open model access path

The public repository gives builders a starting point for reviewing model materials and launch details.

Open access lets teams test the model against their own codebases instead of relying on a closed demo.

Workflow-oriented evaluation target

The project language emphasizes the shift from vibe coding toward more structured agentic work.

That is the same direction OpenAgent tracks across models, agents, and skills.
Use cases

When to use GLM-5

Coding agent experiments

Evaluate GLM-5 inside an agent loop that plans, edits, runs checks, and revises code.

Software engineering benchmarks

Use it as a candidate when testing repository-level issue fixing rather than isolated prompts.

Open model comparison

Compare it against Qwen, Kimi, and DeepSeek-style coding models on the same code tasks.

Compare

How it compares

Best compared against coding-agent models vs Qwen3.6 and Kimi-Dev

GLM-5 belongs in the agentic engineering comparison set, where the question is not only code generation but whether the model can support longer tool-driven workflows.

FAQ

Questions

What should I check before using GLM-5?

Run GLM-5 on a fixed prompt set from your own workflow. Compare quality, latency, context handling, retry behavior, deployment path, and license fit against nearby open models before adopting it.

Is GLM-5 open source?

GLM-5 is listed with MIT based on the official source links in this profile. Re-check the repository, model card, or docs before production use.

Who should evaluate GLM-5?

GLM-5 is most worth evaluating for developers comparing open coding models for agentic engineering tasks.

Tags

Capabilities

workflow orchestrationtool callinglocal inferenceopen sourceopen weightsdeveloper workflow