GLM-5.2
GLM-5.2 is Z.ai's open-weight model for long-horizon reasoning, coding, and agent workflows. Official Z.ai and Hugging Face materials document a one-million-token context window, flexible reasoning effort, a mixture-of-experts architecture, and MIT-licensed weights.
Provider
Z.ai
Model family
Z.ai GLM
Open-weight MoE LLM
Cost tier
Flagship
Status
Current
Release Jun 16, 2026
Why teams choose it
GLM-5.2 is a strong candidate when open-weight control and one-million-token context matter together.
GLM-5.2 is a strong candidate when open-weight control and one-million-token context matter together.
Compare hosted API use with self-hosting only after accounting for serving hardware
quantization, observability, and model-risk ownership.
Tradeoffs to know
- The full model is large and operationally demanding despite sparse expert activation.
- Published context capacity does not replace retrieval design or long-context evaluation.
When not to use this
- Self-hosting outcomes depend on hardware, quantization, and ops maturity—budget time beyond swapping an API hostname.
- May demand more instrumentation than SaaS-managed APIs to duplicate latency, failover, and support guarantees.
- Benchmark prompts and regressions continuously before rewriting entire routing tables around weights.
Technical specs
- Inputs
- text
- Outputs
- text
- Capabilities
- reasoning, coding, agents, long context, tool use, open-weight deployment
- License
- MIT
- Model string
glm-5-2
Benchmarks
{
"parameter_count": "753B total parameters (official model card)"
}GLM-5.2 FAQ
What is GLM-5.2?
GLM-5.2 is Z.ai's open-weight model for long-horizon reasoning, coding, and agent workflows. Official materials document a one-million-token context window and MIT-licensed weights.
Explore next
Models, tools, and comparisons that connect to this reference.