MODEL PROFILE · Z.ai
GLM-5.2
An open-weight text-generation model whose official model card documents local serving and links to hosted API access.
Source reviewed: · Language model
Provider documentation summary. No hands-on results or independent ranking are claimed.
Documented facts
The following fields come from the official provider source, reviewed on the date above.
- Repository identifier
- zai-org/GLM-5.2
- Task
- Text generation
- License
- The official model card is labeled MIT.
- Context
- The provider describes a 1M-token context.
- Access
- Model weights on Hugging Face; model-card instructions for local serving and a link to Z.ai API services.
- Pricing and release date
- Not verified in this profile; no per-token estimate or release date is assigned.
- Version caveat
- The reviewed page points to a newer GLM-5.3-BF16 model. GLM-5.2 is not presented here as the latest GLM release.
The practical decision
Choose the deployment question before comparing scores. Running weights yourself adds hardware capacity, serving software and operations to the evaluation. A hosted endpoint has different billing and configuration constraints. Keep the exact weight revision, quantization, context settings and serving stack with your output samples; an API model name alone is insufficient to reproduce a local run.
What to record in your own comparison
- Record the weight revision and serving configuration, including any quantization.
- Check memory and infrastructure requirements with the actual configuration rather than assuming that downloadable means laptop-sized.
- Measure total deployment cost separately from a hosted API bill and compare accepted outputs under matched criteria.
Limitations and unknowns
The model card's context and performance descriptions are provider claims. DualView has not measured them for this profile. Local-serving instructions do not establish hardware feasibility for a particular machine. Consult the actual license files for deployment terms.
Compare your saved results
Use the DualView editor to inspect files you already have. The accepted-output calculator uses your own rates and counts. Neither link runs a model or purchases generation.