GLM 5.2
Z.ai · Text Generation
POST /v1/chat/completionsReasoning and coding model with a 1M token context, 128K output, adjustable reasoning effort, native web search, and tool calling.
At a glance
| Field | Value |
|---|---|
| Model id | glm-5-2 |
| Model release date | 2026-06-16 |
| Input modalities | Text |
| Output modalities | Text |
| Context window | 1M |
| Weight precision | - |
| Max output tokens | 131,072 |
| Region | Singapore |
| Features | reasoning, function_calling, web_search |
| Native inference | No |
| New | Yes |
| Structured output | JSON Mode |
| Supported endpoints | POST /v1/chat/completions, POST /v1/responses, POST /v1/messages, POST /v1beta/models/glm-5-2:generateContent |
| Alternate model ids | glm-5.2, zai/glm-5.2, zhipu/glm-5.2 |
Pricing
| Charge | Spec | Rate |
|---|---|---|
| Input | per 1M prompt tokens | $1.40 |
| Output | per 1M generated tokens | $4.40 |
| Web search | per request | $0.033 |
Example request
$ curl https://api.empiriolabs.ai/v1/chat/completions \ > -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \ > -H 'Content-Type: application/json' \ > -d '{"model": "glm-5-2", "messages": [{"role":"user","content":"Hello"}]}'
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
max_tokens | integer | no | 65536 | Maximum number of output tokens to generate. · Range: 1 – 131072 |
temperature | number | no | 1 | Controls randomness. Lower values make responses more deterministic. · Range: 0 – 1 |
top_p | number | no | 0.95 | Nucleus sampling cutoff. · Range: 0.01 – 1 |
reasoning_effort | enum | no | "max" | GLM-5.2 reasoning effort. none disables thinking; minimal through max set how hard the model reasons before answering. max is recommended for complex coding. · Allowed: none, minimal, low, medium, high, xhigh, max |
enable_thinking | boolean | no | true | Allow the model to reason before answering. Turn off for the lowest-latency replies or strict structured output. |
do_sample | boolean | no | true | Enable sampling. Turn off for greedy deterministic output (temperature and top_p are ignored). |
tool_web_search | boolean | no | false | Enable built-in web search. Adds $0.033 per request when used. |
search_recency_filter | enum | no | "noLimit" | Limit web search results to a recency window. · Allowed: oneDay, oneWeek, oneMonth, oneYear, noLimit |
count | integer | no | 10 | Number of web search results to retrieve when web search is enabled. · Range: 1 – 50 |
search_domain_filter | string | no | - | Restrict web search to a specific domain. |
search_prompt | string | no | - | Optional prompt used to summarize retrieved web search results. |
search_result | boolean | no | true | Return web search result metadata in the response when web search is enabled. |
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. |
stop | array | no | - | Optional stop sequences (up to 4). |
response_format | enum | no | - | Return the output as a valid JSON object (JSON mode). Describe the fields you want in your prompt. |
Variants
:variant1
| Field | Value |
|---|---|
| Model id | glm-5-2:variant1 |
| Model release date | 2026-06-16 |
| Region | Germany |
| Context window | 1M |
| Weight precision | - |
| Max output tokens | 131,072 |
| Features | reasoning, function_calling, cache, web_search |
| Native inference | No |
| Structured output | JSON Schema |
| Supported endpoints | POST /v1/chat/completions, POST /v1/responses, POST /v1/messages, POST /v1beta/models/glm-5-2:variant1:generateContent |
Pricing
| Charge | Spec | Rate |
|---|---|---|
| Input | per 1M prompt tokens | $1.10 (was $1.40) |
| Output | per 1M generated tokens | $3.851 (was $4.40) |
| Implicit cache read | per 1M cached input tokens | $0.275 |
| Web Search (Linkup) | per call when invoked | $0.013 |
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
temperature | number | no | 0.7 | Sampling temperature. 0 = deterministic, 2 = maximum randomness. · Range: 0 – 2 |
top_p | number | no | 0.9 | Nucleus sampling probability mass. Lower = more focused. · Range: 0 – 1 |
max_tokens | number | no | 4096 | Maximum output tokens. · Range: 1 – 131072 |
stop | string | no | - | Up to 4 strings where the model will stop generating further tokens. |
enable_thinking | boolean | no | true | Enable step-by-step reasoning before answering. |
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 |
thinking_budget | number | no | 32768 | Maximum tokens reserved for the reasoning process. Up to 131072. · Range: 1 – 131072 |
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. |
Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/glm-5-2.