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> For a complete documentation index, see https://docs.empiriolabs.ai/models/glm-5-1/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.empiriolabs.ai/_mcp/server.

# GLM 5.1

> Long-context Zhipu AI reasoning model with 202K context, 128K output, tool calling, structured output, and cache support.

![GLM 5.1](https://media.empiriolabs.ai/model-logos/glm.png)

[Z.ai](/providers/zhipu) · Text Generation

`POST /v1/chat/completions`

Long-context Zhipu AI reasoning model with 202K context, 128K output, tool calling, structured output, and cache support.

## At a glance

| Field               | Value                                                                                                                 |
| ------------------- | --------------------------------------------------------------------------------------------------------------------- |
| Model id            | `glm-5-1`                                                                                                             |
| Model release date  | 2026-04-07                                                                                                            |
| Input modalities    | Text                                                                                                                  |
| Output modalities   | Text                                                                                                                  |
| Context window      | 202K                                                                                                                  |
| Weight precision    | -                                                                                                                     |
| Region              | China                                                                                                                 |
| Features            | reasoning, function\_calling, cache                                                                                   |
| Native inference    | No                                                                                                                    |
| New                 | No                                                                                                                    |
| Structured output   | JSON Schema                                                                                                           |
| Supported endpoints | `POST /v1/chat/completions`, `POST /v1/responses`, `POST /v1/messages`, `POST /v1beta/models/glm-5-1:generateContent` |

## Pricing

| Charge              | Spec                       | Rate                                                       |
| ------------------- | -------------------------- | ---------------------------------------------------------- |
| Input               | per 1M prompt tokens       | \<=32K \$0.825 (was \$1.40); 32K-200K \$1.10 (was \$1.40)  |
| Output              | per 1M generated tokens    | \<=32K \$3.301 (was \$4.40); 32K-200K \$3.851 (was \$4.40) |
| Implicit cache read | per 1M cached input tokens | \<=32K \$0.165 (was \$0.26); 32K-200K \$0.22 (was \$0.26)  |
| Web Search (Linkup) | per call when invoked      | \$0.013                                                    |

## Example request

```bash
curl https://api.empiriolabs.ai/v1/chat/completions \
  -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{"model": "glm-5-1", "messages": [{"role":"user","content":"Hello"}]}'
```

## Parameters

| Parameter             | Type    | Required | Default    | Description                                                                                                                                                                                                                                                                                                          |
| --------------------- | ------- | -------- | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `max_tokens`          | integer | no       | `4096`     | Maximum number of output tokens to generate. · Range: 1 – 128000                                                                                                                                                                                                                                                     |
| `temperature`         | number  | no       | `1`        | Controls randomness. Lower values make responses more deterministic. · Range: 0 – 2                                                                                                                                                                                                                                  |
| `top_p`               | number  | no       | `0.95`     | Nucleus sampling cutoff. · Range: 0 – 1                                                                                                                                                                                                                                                                              |
| `top_k`               | integer | no       | `20`       | Limits sampling to the top K tokens. · Range: 1 – 100                                                                                                                                                                                                                                                                |
| `repetition_penalty`  | number  | no       | `1`        | Penalizes repeated tokens. · Range: 0.1 – 2                                                                                                                                                                                                                                                                          |
| `reasoning_effort`    | enum    | no       | `"medium"` | Reasoning effort level. none disables thinking. low, medium, high, and max set bounded thinking budgets sized to the selected model. Sent as an OpenAI-style reasoning\_effort field, translated into enable\_thinking and thinking\_budget for the model service. · Allowed: `none`, `low`, `medium`, `high`, `max` |
| `enable_thinking`     | boolean | no       | true       | Allow the model to reason before answering. Disable this for strict structured output.                                                                                                                                                                                                                               |
| `thinking_budget`     | integer | no       | `32768`    | Maximum tokens available for reasoning content when thinking is enabled. · Range: 1 – 38912                                                                                                                                                                                                                          |
| `tool_stream`         | boolean | no       | false      | Stream function-call arguments incrementally when streaming.                                                                                                                                                                                                                                                         |
| `tools`               | array   | no       | `[]`       | OpenAI-compatible function calling tool definitions.                                                                                                                                                                                                                                                                 |
| `tool_choice`         | object  | no       | -          | OpenAI-compatible tool choice control.                                                                                                                                                                                                                                                                               |
| `parallel_tool_calls` | boolean | no       | true       | Allow multiple tool calls in a single assistant turn when supported.                                                                                                                                                                                                                                                 |
| `stop`                | array   | no       | -          | Optional stop sequences.                                                                                                                                                                                                                                                                                             |
| `response_format`     | enum    | no       | -          | Constrain the output to JSON. Use JSON mode for any valid JSON object, or JSON schema to force output that matches a schema you provide.                                                                                                                                                                             |
| `web_search_linkup`   | boolean | no       | false      | Optional web search powered by Linkup. When enabled, recent web sources are retrieved using your latest user message as the query and provided to the model as additional context. Adds \$0.013 per call when invoked on top of the model's normal token cost. Disabled by default.                                  |
| `disable_formatting`  | boolean | no       | false      | When enabled, the gateway will not append the "Sources" footer to assistant responses that used Linkup web search. Useful when the model output is piped to another system that expects no decoration.                                                                                                               |

---

*Machine-readable schema:* `GET https://api.empiriolabs.ai/v1/models/glm-5-1`.

> Long-context Zhipu AI reasoning model with 202K context, 128K output, tool calling, structured output, and cache support.