--- title: glm-5.2 description: Z.ai's flagship agentic coding model image: https://developers.cloudflare.com/dev-products-preview.png --- > Documentation Index > Fetch the complete documentation index at: https://developers.cloudflare.com/workers-ai/llms.txt > Use this file to discover all available pages before exploring further. [Skip to content](#%5Ftop) ![Zhipu AI logo](https://developers.cloudflare.com/_astro/zai.Dj2vcayE.svg) # glm-5.2 Text Generation • Zhipu AI `@cf/zai-org/glm-5.2` Z.ai's flagship agentic coding model | Model Info | | | ------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------ | | Context Window[ ↗](https://developers.cloudflare.com/workers-ai/glossary/) | 262,144 tokens | | Function calling [ ↗](https://developers.cloudflare.com/workers-ai/function-calling) | Yes | | Reasoning | Yes | | Unit Pricing | $1.40 per M input tokens, $4.40 per M output tokens, $0.26 per M cached input tokens | ## Playground Try out this model with Workers AI LLM Playground. It does not require any setup or authentication and an instant way to preview and test a model directly in the browser. [ Launch the LLM Playground ](https://playground.ai.cloudflare.com/?model=@cf/zai-org/glm-5.2) ## Usage * [ Worker (Streaming) ](#tab-panel-4921) * [ TypeScript ](#tab-panel-4922) * [ Python ](#tab-panel-4923) * [ curl ](#tab-panel-4924) TypeScript ``` export interface Env { AI: Ai;} export default { async fetch(request, env): Promise { const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const stream = await env.AI.run("@cf/zai-org/glm-5.2", { messages, stream: true, }); return new Response(stream, { headers: { "content-type": "text/event-stream" }, }); },} satisfies ExportedHandler; ``` ``` export interface Env { AI: Ai;} export default { async fetch(request, env): Promise { const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const response = await env.AI.run("@cf/zai-org/glm-5.2", { messages }); return Response.json(response); },} satisfies ExportedHandler; ``` ``` import osimport requests ACCOUNT_ID = "your-account-id"AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN") prompt = "Tell me all about PEP-8"response = requests.post( f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/zai-org/glm-5.2", headers={"Authorization": f"Bearer {AUTH_TOKEN}"}, json={ "messages": [ {"role": "system", "content": "You are a friendly assistant"}, {"role": "user", "content": prompt} ] })result = response.json()print(result) ``` Terminal window ``` curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/zai-org/glm-5.2 \ -X POST \ -H "Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN" \ -d '{ "messages": [{ "role": "system", "content": "You are a friendly assistant" }, { "role": "user", "content": "Why is pizza so good" }]}' ``` OpenAI compatible endpoints Workers AI also supports OpenAI compatible API endpoints for `/v1/chat/completions` and `/v1/embeddings`. For more details, refer to [Configurations ](https://developers.cloudflare.com/workers-ai/configuration/open-ai-compatibility/). ## Parameters Synchronous — Send a request and receive a complete response * [ Input ](#tab-panel-4925) * [ Output ](#tab-panel-4926) Input format Prompt Simple text input for single-turn interactions Messages Structured conversation format with roles (user, assistant, system) prompt `string`requiredminLength: 1The input text prompt for the model to generate a response. model `string`ID of the model to use (e.g. '@cf/zai-org/glm-4.7-flash, etc'). ▶audio{} `object`Parameters for audio output. Required when modalities includes 'audio'. frequency\_penalty `number | null`Penalizes new tokens based on their existing frequency in the text so far. logit\_bias `object | null`Modify the likelihood of specified tokens appearing in the completion. Maps token IDs to bias values from -100 to 100. logprobs `boolean | null`Whether to return log probabilities of the output tokens. top\_logprobs `integer | null`How many top log probabilities to return at each token position (0-20). Requires logprobs=true. max\_tokens `integer | null`Deprecated in favor of max\_completion\_tokens. The maximum number of tokens to generate. max\_completion\_tokens `integer | null`An upper bound for the number of tokens that can be generated for a completion. metadata `object | null`Set of 16 key-value pairs that can be attached to the object. modalities `array | null`Output types requested from the model (e.g. \['text'\] or \['text', 'audio'\]). n `integer | null`How many chat completion choices to generate for each input message. parallel\_tool\_calls `boolean`default: trueWhether to enable parallel function calling during tool use. ▶prediction{} `object` presence\_penalty `number | null`Penalizes new tokens based on whether they appear in the text so far. reasoning\_effort `string | null`Constrains effort on reasoning for reasoning models (o1, o3-mini, etc.). ▶chat\_template\_kwargs{} `object` ▶response\_format `one of`Specifies the format the model must output. seed `integer | null`If specified, the system will make a best effort to sample deterministically. service\_tier `string | null`Specifies the processing type used for serving the request. ▶stop `one of` store `boolean | null`Whether to store the output for model distillation / evals. stream `boolean | null`If true, partial message deltas will be sent as server-sent events. ▶stream\_options{} `object` temperature `number | null`Sampling temperature between 0 and 2. ▶tool\_choice `one of`Controls which (if any) tool is called by the model. 'none' = no tools, 'auto' = model decides, 'required' = must call a tool. ▶tools\[\] `array`A list of tools the model may call. top\_p `number | null`Nucleus sampling: considers the results of the tokens with top\_p probability mass. user `string`A unique identifier representing your end-user, for abuse monitoring. ▶web\_search\_options{} `object`Options for the web search tool (when using built-in web search). ▶function\_call `one of` ▶functions\[\] `array`minItems: 1maxItems: 128 id `string`A unique identifier for the chat completion. object `string` created `integer`Unix timestamp (seconds) of when the completion was created. model `string`The model used for the chat completion. ▶choices\[\] `array`minItems: 1 ▶usage{} `object` system\_fingerprint `string | null` service\_tier `string | null` Streaming — Send a request with \`stream: true\` and receive server-sent events * [ Input ](#tab-panel-4927) * [ Output ](#tab-panel-4928) Input format Prompt Simple text input for single-turn interactions Messages Structured conversation format with roles (user, assistant, system) prompt `string`requiredminLength: 1The input text prompt for the model to generate a response. model `string`ID of the model to use (e.g. '@cf/zai-org/glm-4.7-flash, etc'). ▶audio{} `object`Parameters for audio output. Required when modalities includes 'audio'. frequency\_penalty `number | null`Penalizes new tokens based on their existing frequency in the text so far. logit\_bias `object | null`Modify the likelihood of specified tokens appearing in the completion. Maps token IDs to bias values from -100 to 100. logprobs `boolean | null`Whether to return log probabilities of the output tokens. top\_logprobs `integer | null`How many top log probabilities to return at each token position (0-20). Requires logprobs=true. max\_tokens `integer | null`Deprecated in favor of max\_completion\_tokens. The maximum number of tokens to generate. max\_completion\_tokens `integer | null`An upper bound for the number of tokens that can be generated for a completion. metadata `object | null`Set of 16 key-value pairs that can be attached to the object. modalities `array | null`Output types requested from the model (e.g. \['text'\] or \['text', 'audio'\]). n `integer | null`How many chat completion choices to generate for each input message. parallel\_tool\_calls `boolean`default: trueWhether to enable parallel function calling during tool use. ▶prediction{} `object` presence\_penalty `number | null`Penalizes new tokens based on whether they appear in the text so far. reasoning\_effort `string | null`Constrains effort on reasoning for reasoning models (o1, o3-mini, etc.). ▶chat\_template\_kwargs{} `object` ▶response\_format `one of`Specifies the format the model must output. seed `integer | null`If specified, the system will make a best effort to sample deterministically. service\_tier `string | null`Specifies the processing type used for serving the request. ▶stop `one of` store `boolean | null`Whether to store the output for model distillation / evals. stream `boolean | null`If true, partial message deltas will be sent as server-sent events. ▶stream\_options{} `object` temperature `number | null`Sampling temperature between 0 and 2. ▶tool\_choice `one of`Controls which (if any) tool is called by the model. 'none' = no tools, 'auto' = model decides, 'required' = must call a tool. ▶tools\[\] `array`A list of tools the model may call. top\_p `number | null`Nucleus sampling: considers the results of the tokens with top\_p probability mass. user `string`A unique identifier representing your end-user, for abuse monitoring. ▶web\_search\_options{} `object`Options for the web search tool (when using built-in web search). ▶function\_call `one of` ▶functions\[\] `array`minItems: 1maxItems: 128 type `string` contentType `text/event-stream` format `binary` Batch — Send multiple requests in a single API call * [ Input ](#tab-panel-4929) * [ Output ](#tab-panel-4930) ▶requests\[\] `array` id `string`A unique identifier for the chat completion. object `string` created `integer`Unix timestamp (seconds) of when the completion was created. model `string`The model used for the chat completion. ▶choices\[\] `array`minItems: 1 ▶usage{} `object` system\_fingerprint `string | null` service\_tier `string | null` ## API Schemas (Raw) Synchronous Input [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/sync-input.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/sync-input.json "Download") Synchronous Output [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/sync-output.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/sync-output.json "Download") Streaming Input [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/streaming-input.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/streaming-input.json "Download") Streaming Output [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/streaming-output.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/streaming-output.json "Download") Batch Input [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/batch-input.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/batch-input.json "Download") Batch Output [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/batch-output.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/glm-5.2/batch-output.json "Download") ```json {"@context":"https://schema.org","@type":"TechArticle","@id":"https://developers.cloudflare.com/workers-ai/models/glm-5.2/#page","headline":"glm-5.2 (Zhipu AI) · Cloudflare AI docs · Cloudflare Workers AI docs","description":"Z.ai's flagship agentic coding model","url":"https://developers.cloudflare.com/workers-ai/models/glm-5.2/","inLanguage":"en","image":"https://developers.cloudflare.com/dev-products-preview.png","publisher":{"@type":"Organization","name":"Cloudflare","url":"https://www.cloudflare.com/"},"isPartOf":{"@type":"WebSite","@id":"https://developers.cloudflare.com/#website","name":"Cloudflare Docs","url":"https://developers.cloudflare.com/"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"/directory/","name":"Directory"}},{"@type":"ListItem","position":2,"item":{"@id":"/workers-ai/","name":"Workers AI"}},{"@type":"ListItem","position":3,"item":{"@id":"/workers-ai/models/","name":"Models"}}]} ```