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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 published 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.
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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. One clarification matters up front: the closed-weight flagship is API-only while a Max-class model has also been released with open weights under a custom licence, and the open-weight line is what this page describes.
A paid hosted API also exists, running on Alibaba Cloud, and for some organisations that carries a jurisdiction question. Self-hosting the open weights removes it entirely, because data governance stays in your hands rather than with any provider.
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The ceiling is worth naming plainly. On ambiguous specs and sustained multi-agent work the closed frontier models still win, so the working pattern is not Qwen instead of a frontier model but Qwen as the daily driver, with a retained frontier seat for the hardest problems. No tool is best for everyone; this one is best when you want to own the model layer.
- 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
- Local prototyping with Ollama, production with vLLM
- An actively maintained open-weight coding line
- 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 both as a change to what powers the client you already use and through ZCode, Z.ai's own first-party client on the same Coding Plan quota. The GLM Coding Plan runs open-weight models inside clients such as Claude Code: you keep the client, the workflow and the keybindings, and change what feeds them with a configuration edit rather than a migration. For a team already settled into its tooling, that is the cheapest structural change on offer.
The honest working pattern is a daily driver plus a retained frontier seat. GLM carries the routine coding volume, while ambiguous specs and sustained multi-agent work still go to the closed frontier models, which remain ahead on exactly that kind of task. No tool is best for everyone; this one is unusually clear about which half of the work it wants.
- Best for
- Flat-rate coding subscription
- MIT-licensed GLM-5.2 open weights you can self-host
- A 1M-token context for large-codebase work
- Pay-per-token API access alongside the subscription
- A coding-first family, not a general-purpose assistant
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Runs privately (self-hostable)
- Data
- GLM's hosted terms point to Singapore while its developer is Chinese-founded, 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.
Pricing
- Qwen
Free
Prices as of August 2026.
- Free
- Free
- GLM (Z.ai)
$12.60·$56·$117.60$79.20/user·$169.20/user
Prices as of August 2026.
- Lite
- $12.60per monthbilled annually; $18 per month if billed monthly
- Pro
- $56per monthbilled annually; $80 per month if billed monthly
- Max
- $117.60per monthbilled annually; $168 per month if billed monthly
- Standard Seat
- $79.20per user, per monthbilled annually; $88 per user per month if billed monthly
- Premium Seat
- $169.20per user, per monthbilled annually; $188 per user per month if billed monthly
By area
Where each one pulls ahead, area by area.
| Area | Qwen | GLM (Z.ai) |
|---|---|---|
| By job | ||
| Software development | Qwen asks somebody on the team to own model infrastructure, and if nobody wants to, a hosted coding tool is the simpler choice rather than a compromise | GLM makes the trial cost a configuration edit and walking away cost the same, which is the whole argument for trying it inside the client you already run |
| By task | ||
| Coding & software development | Qwen runs heavy agentic workloads without per-token charges once the weights are yours to serve, and its own coding agent ships IDE plugins configured with an API key | GLM is not the lane for a first coding assistant: the value assumes a client already in daily use and enough sustained volume for flat pricing to matter |
| Private, local & self-hosted | Qwen's closed-weight flagship is API-only, though a Max-class model has also been released with open weights under a custom licence, and production serving is real infrastructure work rather than a download | 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?
Qwen's open-weight family ships under Apache-2.0. GLM-5.2's published weights carry conflicting licence files, MIT on the model repository against Apache-2.0 in the source repository, so treat it as unsettled. Both vendors now keep their newest flagship closed: Qwen's is API-only, though a Max-class model has also been released with open weights under a custom licence, and the GLM generation the Coding Plan now serves has published no weights.
Who should weigh the jurisdiction question?
Organisations with rules about where source code travels. GLM's hosted terms point to Singapore while its developer is Chinese-founded, 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 August 2026