Quick Facts
| Developer | Z.ai (Zhipu AI) |
| License | MIT License, per the Ollama model card -- permits commercial use subject to standard MIT terms |
| Parameters | 744B total, 40B active per token (mixture-of-experts) |
| Context Window | 198K tokens |
| Cloud Variant | glm-5:cloud (high usage tier -- only verified tag on Ollama) |
| Modality | Text only; native tool use; configurable thinking/reasoning modes |
| Languages | Strong English and Chinese performance |
| Best For | Long-form drafting, dense document summarization, structured analysis, coding, and agentic tasks |
Why Choose This Model
GLM-5 is a strong option when the workload needs deep reasoning and bilingual English/Chinese capability at scale -- dense summarization, structured analysis, long-form drafting, or coding assistance where a smaller model may fall short. Its 198K context window and tool support extend it into agentic use cases. Since it's currently offered as a single cloud tag, there's no local weight sizing decision to make: evaluate the one tier against your usage volume and go.
Terminal.Glass Deployment
Your interface, chat history, user accounts, and RAG index stay on your Terminal.Glass host.
When you submit a prompt -- including retrieved passages -- to
glm-5:cloud, the request
is forwarded to Ollama Cloud, where GLM-5 runs, and the response streams back. Cloud access
requires an Ollama account signed in on the Terminal.Glass machine
(ollama signin). GLM-5 is
rated high usage -- expect higher per-request cost than smaller cloud models, especially with
long 198K contexts and reasoning-enabled prompts. No local GPU is required to run the cloud tag.
Recommended Uses
- Bilingual chat, drafting, and English/Chinese translation
- RAG-backed Q&A over internal documentation
- Document summarization and structured analysis
- Coding prototypes and agent/tool-use testing
- Internal knowledge work and proposal drafting on approved, lower-risk content
Not appropriate for HIPAA-covered data, attorney-client material, PCI-regulated payment details, or other regulated/confidential content unless cloud use has been explicitly approved -- prompts and RAG-retrieved passages are sent to Ollama Cloud during inference. GLM-5 is text-only and optimized for English and Chinese; broader multilingual needs may be better served by another model family. High-frequency automated workflows or low-latency editor/CI loops will perform better on local inference than cloud round-trips. GLM-5 is a general-purpose model, not a validated medical device, and should not be used for clinical or diagnostic decisions.
Hardware Guidance
The GLM-5 cloud tag runs entirely on Ollama Cloud, so the Terminal.Glass host only needs to run Open WebUI, the Ollama client, and your document index -- a small VM or mini-PC is enough. Ollama currently lists GLM-5 as cloud-only, with no separate local weight tag on the catalog page. Teams that need on-hardware inference for a model of this scale should evaluate local hardware requirements carefully, as a 744B-class MoE demands substantial multi-GPU capacity. Confirm current tag availability at the official Ollama listing.
Honest Guidance
- Regulated, confidential, or strict data-residency requirements: do not route this data through the cloud tag -- Terminal Glass's cloud routing sends prompts and retrieved context to Ollama Cloud and is not equivalent to an air-gapped deployment.
- High-frequency automated workflows or low-latency needs: local inference on owned hardware performs better than cloud round-trips.
- Predictable high or sustained volume: recurring cloud usage costs -- which grow with context length, reasoning depth, and team chat volume -- may exceed owned inference hardware over many months of heavy use.
- Model-version pinning or audit-grade reproducibility: a pinned local deployment provides more control than a cloud-only tag whose behavior may change without notice.
- Languages beyond English and Chinese: GLM-5 is optimized for bilingual EN/ZH work; broader multilingual needs may be better served by another model family.
- Clinical or diagnostic use: GLM-5 is a general-purpose model, not a validated medical device -- do not use it for patient care decisions without clinical governance your compliance team approves.
Learn More
Full technical reference, licensing detail, and local deployment options for this model family are documented on NoCloudGPT. Confirm current tags and availability at ollama.com/library/glm-5.