GLM-5.1
zhipu/glm-5-1GLM at 200K context.
Model overview
Context window
200K
tokens
Input price
R29.10
per 1M tokens
Output price
R91.30
per 1M tokens
Weekly volume
—
tokens / week
Open weights
No
API only
Capabilities
3
of 11 tags
Description
GLM-5.1 is a language model from Zhipu AI. Webparam does not stock this model yet and can source it on request — tell us what you need it for and we will come back with availability and a price. Zhipu AI’s stated focus is open agentic GLM family. The weights are not published, so it is API-only.
Capabilities
- Tool calling
- Calls functions you define and returns their arguments as structured data, the basis of agents.
- JSON mode
- Constrains the response to valid JSON matching a schema you supply.
- Streaming
- Emits tokens as they are generated, so answers appear progressively rather than all at once.
Strengths & weaknesses
Strengths
- Balanced price and capability
- Price quoted from the supplier's own rate card, not estimated
Weaknesses
- 200K context, the smallest here
- Not provisioned on this account yet — lead time applies
Pricing
| Rate | Price | Unit |
|---|---|---|
| Input | R29.10 | per 1M tokens |
| Output | R91.30 | per 1M tokens |
This model is not provisioned yet; the rate is quoted on request.
Context window
200Ktokens
covers prompt and response together, so a long input leaves less room for the answer.
Supported features
| Feature | Support |
|---|---|
| Tool calling | Supported |
| JSON mode | Supported |
| Streaming | Supported |
| Vision input | Not supported |
| Audio input | Not supported |
| Long context | Not supported |
| Open weights | Not supported |
| Reasoning | Not supported |
| Fine-tunable | Not supported |
| Batch | Not supported |
| Caching | Not supported |
Example use cases
General assistants
Retrieval-augmented answering
Everyday production traffic
Comparison
Compare against anything →| Attribute | GLM-5.1 | GLM-5.2 | AC Flash 4.5 |
|---|---|---|---|
| Context window | 200K | 1.005M | — |
| Input price | R29.10 | R29.10 | R10.00 |
| Output price | R91.30 | R91.30 | R40.00 |
| Tool calling | Supported | Supported | Supported |
| JSON mode | Supported | Supported | Supported |
| Vision input | Not supported | Not supported | Not supported |
| Open weights | Not supported | Not supported | Not supported |
| Prompt caching | Not supported | Not supported | Not supported |
Best value in each row is highlighted. Blank cells are facts the supplier does not publish, not zeroes.
Provider information
View Zhipu AI →Zhipu AI · 智谱AI · Beijing, China · est. 2019
Born from Tsinghua University research, Zhipu's GLM family became the open ecosystem's agentic specialist: models tuned for tool use and multi-step work, released under permissive licences. Its free Air tier made capable open models accessible to every developer.
Recent releases
Documentation
Frequently asked questions
Input is billed at R29.10 per 1M tokens and output at R91.30 per 1M tokens. Every figure on this page is an illustrative placeholder.
No. GLM-5.1 is served through its provider's API only; the weights are not published, so self-hosting is not an option.
Prompt and response share one window: GLM-5.1 accepts up to 200K tokens in total, so a long input leaves less room for the answer. The median across language models is 256K. Recall is strongest well inside the limit. Test at your real prompt depth before relying on the ceiling.
GLM-5.2 is the closest neighbour in the catalogue, with 1.005M of context at R29.10 per 1M tokens in. Put both in a comparison before wiring a fallback chain, so the trade-off is a decision rather than a default.