--- description: The first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks. title: glm-5.3-flash image: https://developers.cloudflare.com/og-docs.png --- [Skip to content](#main-content) > Documentation Index > Fetch the complete documentation index at: https://developers.cloudflare.com/llms.txt > Use this file to discover all available pages before exploring further. ![Zhipu AI logo](https://codex-container-api-docs.previews.developers.cloudflare.com/_astro/zai-org.Dj2vcayE.svg) # glm-5.3-flash Text Generation • Zhipu AI Copy as Markdown|[View as Markdown](https://codex-container-api-docs.previews.developers.cloudflare.com/workers-ai/models/glm-5.3-flash/index.md)|[Agent setup](https://codex-container-api-docs.previews.developers.cloudflare.com/agent-setup/) `@cf/zai-org/glm-5.3-flash` * Cloudflare-hosted * Function calling * Reasoning * Vision The first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks. Paid access required This model is not available through standard Workers Free billing. To use it, upgrade to the [Workers Paid plan](https://codex-container-api-docs.previews.developers.cloudflare.com/workers/platform/pricing/#workers) or use prepaid [AI Gateway credits](https://codex-container-api-docs.previews.developers.cloudflare.com/ai-gateway/features/unified-billing/). | Model Info | | | ----------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ | | Context Window[ ↗](https://codex-container-api-docs.previews.developers.cloudflare.com/workers-ai/platform/glossary/) | 1,048,576 tokens | | Terms and License | [link ↗](https://huggingface.co/zai-org/GLM-5.3-Flash/blob/main/LICENSE) | | Function calling [ ↗](https://codex-container-api-docs.previews.developers.cloudflare.com/workers-ai/function-calling/) | Yes | | Reasoning | Yes | | Vision | Yes | | Unit Pricing | $0.15 per M input tokens, $0.50 per M output tokens, $0.03 per M cached input tokens | ## Playground Try out this model with Workers AI LLM Playground. It does not require any setup or authentication and is an instant way to preview and test a model directly in the browser. [Launch the LLM Playground](https://playground.ai.cloudflare.com/?model=@cf/zai-org/glm-5.3-flash) ## Usage ```ts export interface Env { AI: Ai; } export default { async fetch(request, env): Promise { const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const stream = await env.AI.run("@cf/zai-org/glm-5.3-flash", { messages, stream: true, }); return new Response(stream, { headers: { "content-type": "text/event-stream" }, }); }, } satisfies ExportedHandler; ``` ```ts export interface Env { AI: Ai; } export default { async fetch(request, env): Promise { const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const response = await env.AI.run("@cf/zai-org/glm-5.3-flash", { messages }); return Response.json(response); }, } satisfies ExportedHandler; ``` ```py import os import requests ACCOUNT_ID = "your-account-id" AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN") prompt = "Tell me all about PEP-8" response = requests.post( f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/zai-org/glm-5.3-flash", headers={"Authorization": f"Bearer {AUTH_TOKEN}"}, json={ "messages": [ {"role": "system", "content": "You are a friendly assistant"}, {"role": "user", "content": prompt} ] } ) result = response.json() print(result) ``` ```sh curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/zai-org/glm-5.3-flash \ -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://codex-container-api-docs.previews.developers.cloudflare.com/workers-ai/configuration/open-ai-compatibility/). ## Parameters Synchronous — Send a request and receive a complete response 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`enum: low, medium, highConstrains 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`enum: auto, default, flex, scale, prioritySpecifies 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`enum: auto, default, flex, scale, priority Streaming — Send a request with \`stream: true\` and receive server-sent events 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`enum: low, medium, highConstrains 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`enum: auto, default, flex, scale, prioritySpecifies 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 ▶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`enum: auto, default, flex, scale, priority ## API Schemas (Raw) SynchronousInput SynchronousOutput StreamingInput StreamingOutput BatchInput BatchOutput Was this helpful? YesNo ## On this page [![](https://codex-container-api-docs.previews.developers.cloudflare.com/_astro/logo.te5VL_aD.svg)Docs](https://codex-container-api-docs.previews.developers.cloudflare.com/) ```json {"@context":"https://schema.org","@type":"TechArticle","@id":"https://developers.cloudflare.com/workers-ai/models/glm-5.3-flash/#page","headline":"glm-5.3-flash (Zhipu AI) · Cloudflare AI docs · Cloudflare Workers AI docs","description":"The first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks.","url":"https://developers.cloudflare.com/workers-ai/models/glm-5.3-flash/","inLanguage":"en","image":"https://developers.cloudflare.com/og-docs.png","publisher":{"@type":"Organization","name":"Cloudflare","description":"One platform for your apps, agents, and workforce. Build, secure, and scale without managing infrastructure","url":"https://www.cloudflare.com/","sameAs":["https://github.com/cloudflare","https://www.linkedin.com/company/cloudflare","https://x.com/cloudflare"],"logo":{"@type":"ImageObject","url":"https://developers.cloudflare.com/logo.svg"},"address":{"@type":"PostalAddress","streetAddress":"101 Townsend St","addressLocality":"San Francisco","addressRegion":"CA","postalCode":"94107","addressCountry":"US"},"contactPoint":[{"@type":"ContactPoint","contactType":"Customer Support","url":"https://support.cloudflare.com/","availableLanguage":["English"]},{"@type":"ContactPoint","contactType":"Sales","url":"https://www.cloudflare.com/contact/","availableLanguage":["English"]}]},"isPartOf":{"@type":"WebSite","@id":"https://developers.cloudflare.com/#website","name":"Cloudflare Docs","url":"https://developers.cloudflare.com/"}} ```