Quick Facts
| Developer | Z.ai (Zhipu AI) |
| License | MIT License, per the Hugging Face model card -- permits commercial use subject to standard MIT terms |
| Parameters | 357B total (mixture-of-experts) |
| Context Window | 198K tokens |
| Cloud Variant | glm-4.7:cloud (high usage tier -- only verified tag on Ollama) |
| Modality | Text only; native tool use; configurable thinking/reasoning modes |
| Languages | Optimized for English and Chinese |
| Best For | Repository review, agentic coding, implementation planning, terminal-oriented tasks, long-context technical drafting |
Why Choose This Model
GLM-4.7 is a strong option when the primary workload is coding, agentic tool use, or multi-step technical reasoning over long context. Its 198K context window and native tool support make it well suited to repository-scale exploration, refactoring plans, and implementation review -- tasks where a general-purpose multimodal model would struggle to keep up. 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 and code context -- to
glm-4.7:cloud, the request
is forwarded to Ollama Cloud, where GLM-4.7 runs, and the response streams back. Cloud access
requires an Ollama account signed in on the Terminal.Glass machine
(ollama signin). GLM-4.7
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
- Coding agents and tool-assisted development workflows
- Repository exploration, refactoring plans, and implementation review
- Terminal-oriented, multi-step development assistance
- Long technical document review and analysis within a 198K context window
- Internal drafting and documentation on approved, lower-risk content
Not appropriate for proprietary source code, credentials, client records, or regulated data unless cloud use has been explicitly approved -- prompts, code snippets, and RAG-retrieved passages are sent to Ollama Cloud during inference. GLM-4.7 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.
Hardware Guidance
The GLM-4.7 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-4.7 as cloud-only, with no separate local weight tag on the catalog page. Teams that need on-hardware inference for this workload should evaluate a comparable local coding model sized to available 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, code, 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 for tight editor or CI loops.
- Predictable high or sustained volume: recurring cloud usage costs -- which grow with context length, reasoning depth, and agentic tool loops -- may exceed owned inference hardware over many months of heavy daily 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-4.7 is optimized for bilingual EN/ZH work; broader multilingual needs may be better served by another model family.
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-4.7.