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Qwen vs GLM (Z.ai)
A plain-English comparison to help you choose between them.
Two open-weight coding families, two different bets: Qwen is the current default for new self-hosted coding work, while GLM pairs its MIT-licensed GLM-5.2 weights with a flat-rate hosted plan that runs inside clients such as Claude Code. Pick Qwen when you are buying the model layer itself, Apache-2.0 weights on a serving stack you own, prototyped with Ollama and served with vLLM. Pick GLM when you want the hosted shortcut on a flat monthly rate, or when its 1M-token context is what your largest codebases actually need. Either way the closed frontier models still take the hardest work, so both families are daily drivers beside a retained frontier seat rather than replacements for one.
Side by side
- Summary
Qwen is Alibaba's model line, and the part this guide recommends is the open-weight family: the models you download and serve on your own hardware.
- Best for
- The current default for new self-hosted coding work
- Apache-2.0 open weights, free to download and run
- Coding agents on infrastructure you control
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Runs privately (self-hostable)
- Data
- Qwen's hosted API runs on Alibaba Cloud, which carries a jurisdiction question for some organisations. Self-hosting the open weights removes it: the model runs on your own infrastructure, so data governance stays entirely in your hands.
- Summary
GLM is Z.ai's coding-first model family, sold less as a new tool than as a change to what powers the one you already have.
- Best for
- Flat-rate coding subscription from around $18 a month
- MIT-licensed GLM-5.2 open weights you can self-host
- A 1M-token context for large-codebase work
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Runs privately (self-hostable)
- Data
- GLM's hosted API is served from China, a jurisdiction point to weigh before routing real code or prompts through it. Self-hosting the open weights removes that question entirely: the model runs on infrastructure you control, and nothing leaves it.
By area
Where each one pulls ahead, area by area.
| Area | Pick Qwen when | Pick GLM (Z.ai) when |
|---|---|---|
| Private, local & self-hosted | you want the current default for new self-hosted coding work and its actively maintained Apache-2.0 line | GLM brings a coding-first family with a 1M-token context and MIT weights to a self-hosted stack |
Common questions
Where do the licences differ?
Both lines are permissive but not identical: Qwen's open-weight family ships under Apache-2.0, GLM-5.2 under an MIT licence. The sharper distinction sits above the licence text. Qwen's current flagship 3.7 models are closed-weight and API-only, so the open line is what you self-host, whereas GLM's headline coding model is itself the open artefact.
Who should weigh the jurisdiction question?
Organisations with rules about where source code travels. GLM's hosted API is served from China, and Qwen's paid API runs on Alibaba Cloud, which raises the same question for some buyers. Self-hosting either family removes it structurally, because inference happens on machines you govern, at the price of turning a subscription into an infrastructure project.
Which asks more of the team?
Qwen, by design: there is no recommended hosted plan in its story here, so adopting it means GPUs, a serving stack and engineers who own both, with Ollama for prototyping and vLLM for production as the well-worn path. GLM offers the same self-hosted route but also the low-effort one, a flat-rate subscription feeding the client you already run.
Related comparisons
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Tool facts last checked July 2026