qwq-32b
Text Generation • QwenQwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.
| Model Info | |
|---|---|
| Context Window ↗ | 24,000 tokens |
| LoRA | Yes |
| Unit Pricing | $0.66 per M input tokens, $1.00 per M output tokens |
Playground
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Launch the LLM PlaygroundUsage
Worker - Streaming
export interface Env { AI: Ai;}
export default { async fetch(request, env): Promise<Response> {
const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ];
const stream = await env.AI.run("@cf/qwen/qwq-32b", { messages, stream: true, });
return new Response(stream, { headers: { "content-type": "text/event-stream" }, }); },} satisfies ExportedHandler<Env>;Worker
export interface Env { AI: Ai;}
export default { async fetch(request, env): Promise<Response> {
const messages = [ { role: "system", content: "You are a friendly assistant" }, { role: "user", content: "What is the origin of the phrase Hello, World", }, ]; const response = await env.AI.run("@cf/qwen/qwq-32b", { messages });
return Response.json(response); },} satisfies ExportedHandler<Env>;Python
import osimport requests
ACCOUNT_ID = "your-account-id"AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN")
prompt = "Tell me all about PEP-8"response = requests.post( f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/qwen/qwq-32b", headers={"Authorization": f"Bearer {AUTH_TOKEN}"}, json={ "messages": [ {"role": "system", "content": "You are a friendly assistant"}, {"role": "user", "content": prompt} ] })result = response.json()print(result)curl
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/qwen/qwq-32b \ -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" }]}'Parameters
* indicates a required field
Input
This model accepts multiple input formats. Click on the tabs below to view the parameters for each format. You can use these JSON inputs with the Workers Binding or through a fetch API call.
{ "messages": [ { "role": "system", "content": "You are a helpful assistant" }, { "role": "user", "content": "Tell me about Cloudflare Workers" } ]}-
messages* array requiredAn array of message objects representing the conversation history.
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itemsobject-
rolestringThe role of the message sender (e.g., 'user', 'assistant', 'system', 'tool').
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tool_call_idstringThe tool call id. Must be supplied for tool calls for Mistral-3. If you don't know what to put here you can fall back to 000000001
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contentone of-
0stringThe content of the message as a string.
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1array-
itemsobject-
typestringType of the content provided
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textstring -
image_urlobject-
urlstringimage uri with data (e.g. data:image/jpeg;base64,/9j/...). HTTP URL will not be accepted
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-
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2object-
typestringType of the content provided
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textstring -
image_urlobject-
urlstringimage uri with data (e.g. data:image/jpeg;base64,/9j/...). HTTP URL will not be accepted
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-
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functionsarray-
itemsobject-
name* string required -
code* string required
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toolsarrayA list of tools available for the assistant to use.
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itemsone of-
0object-
name* string requiredThe name of the tool. More descriptive the better.
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description* string requiredA brief description of what the tool does.
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parameters* object requiredSchema defining the parameters accepted by the tool.
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type* string requiredThe type of the parameters object (usually 'object').
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requiredarrayList of required parameter names.
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itemsstring
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properties* object requiredDefinitions of each parameter.
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additionalPropertiesobject-
type* string requiredThe data type of the parameter.
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description* string requiredA description of the expected parameter.
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-
-
-
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1object-
type* string requiredSpecifies the type of tool (e.g., 'function').
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function* object requiredDetails of the function tool.
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name* string requiredThe name of the function.
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description* string requiredA brief description of what the function does.
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parameters* object requiredSchema defining the parameters accepted by the function.
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type* string requiredThe type of the parameters object (usually 'object').
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requiredarrayList of required parameter names.
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itemsstring
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properties* object requiredDefinitions of each parameter.
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additionalPropertiesobject-
type* string requiredThe data type of the parameter.
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description* string requiredA description of the expected parameter.
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-
-
-
-
-
-
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guided_jsonobjectJSON schema that should be fufilled for the response.
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rawbooleanIf true, a chat template is not applied and you must adhere to the specific model's expected formatting.
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streambooleanIf true, the response will be streamed back incrementally using SSE, Server Sent Events.
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max_tokensinteger default 256The maximum number of tokens to generate in the response.
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temperaturenumber default 0.15 min 0 max 5Controls the randomness of the output; higher values produce more random results.
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top_pnumber min 0 max 2Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.
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top_kinteger min 1 max 50Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.
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seedinteger min 1 max 9999999999Random seed for reproducibility of the generation.
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repetition_penaltynumber min 0 max 2Penalty for repeated tokens; higher values discourage repetition.
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frequency_penaltynumber min 0 max 2Decreases the likelihood of the model repeating the same lines verbatim.
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presence_penaltynumber min 0 max 2Increases the likelihood of the model introducing new topics.
{ "prompt": "Tell me about Cloudflare Workers"}-
prompt* string required min 1The input text prompt for the model to generate a response.
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guided_jsonobjectJSON schema that should be fulfilled for the response.
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rawbooleanIf true, a chat template is not applied and you must adhere to the specific model's expected formatting.
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streambooleanIf true, the response will be streamed back incrementally using SSE, Server Sent Events.
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max_tokensinteger default 256The maximum number of tokens to generate in the response.
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temperaturenumber default 0.15 min 0 max 5Controls the randomness of the output; higher values produce more random results.
-
top_pnumber min 0 max 2Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses.
-
top_kinteger min 1 max 50Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises.
-
seedinteger min 1 max 9999999999Random seed for reproducibility of the generation.
-
repetition_penaltynumber min 0 max 2Penalty for repeated tokens; higher values discourage repetition.
-
frequency_penaltynumber min 0 max 2Decreases the likelihood of the model repeating the same lines verbatim.
-
presence_penaltynumber min 0 max 2Increases the likelihood of the model introducing new topics.
Output
This model returns different output formats depending on the request. Click on the tabs below to view the response structure for each format.
{ "result": { "response": "Generated text response from the model", "tool_calls": [], "usage": { "prompt_tokens": 86, "completion_tokens": 171, "total_tokens": 257 } }, "success": true, "errors": [], "messages": []}-
response* string requiredThe generated text response from the model
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usageobjectUsage statistics for the inference request
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prompt_tokensnumber 0Total number of tokens in input
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completion_tokensnumber 0Total number of tokens in output
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total_tokensnumber 0Total number of input and output tokens
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-
tool_callsarrayAn array of tool calls requests made during the response generation
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itemsobject-
argumentsobjectThe arguments passed to be passed to the tool call request
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namestringThe name of the tool to be called
-
-
data: {"response":"Hello","p":"user"}
data: {"response":" there","p":"user"}
data: {"response":"","usage":{"prompt_tokens":10,"completion_tokens":50,"total_tokens":60}}
data: [DONE]API Schemas
The following schemas are based on JSON Schema
{ "type": "object", "oneOf": [ { "title": "Qwen_Qwq_32B_Prompt", "properties": { "prompt": { "type": "string", "minLength": 1, "description": "The input text prompt for the model to generate a response." }, "guided_json": { "type": "object", "description": "JSON schema that should be fulfilled for the response." }, "raw": { "type": "boolean", "default": false, "description": "If true, a chat template is not applied and you must adhere to the specific model's expected formatting." }, "stream": { "type": "boolean", "default": false, "description": "If true, the response will be streamed back incrementally using SSE, Server Sent Events." }, "max_tokens": { "type": "integer", "default": 256, "description": "The maximum number of tokens to generate in the response." }, "temperature": { "type": "number", "default": 0.15, "minimum": 0, "maximum": 5, "description": "Controls the randomness of the output; higher values produce more random results." }, "top_p": { "type": "number", "minimum": 0, "maximum": 2, "description": "Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses." }, "top_k": { "type": "integer", "minimum": 1, "maximum": 50, "description": "Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises." }, "seed": { "type": "integer", "minimum": 1, "maximum": 9999999999, "description": "Random seed for reproducibility of the generation." }, "repetition_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Penalty for repeated tokens; higher values discourage repetition." }, "frequency_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Decreases the likelihood of the model repeating the same lines verbatim." }, "presence_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Increases the likelihood of the model introducing new topics." } }, "required": [ "prompt" ] }, { "title": "Qwen_Qwq_32B_Messages", "properties": { "messages": { "type": "array", "description": "An array of message objects representing the conversation history.", "items": { "type": "object", "properties": { "role": { "type": "string", "description": "The role of the message sender (e.g., 'user', 'assistant', 'system', 'tool')." }, "tool_call_id": { "type": "string", "description": "The tool call id. Must be supplied for tool calls for Mistral-3. If you don't know what to put here you can fall back to 000000001", "pattern": "[a-zA-Z0-9]{9}" }, "content": { "oneOf": [ { "type": "string", "description": "The content of the message as a string." }, { "type": "array", "items": { "type": "object", "properties": { "type": { "type": "string", "description": "Type of the content provided" }, "text": { "type": "string" }, "image_url": { "type": "object", "properties": { "url": { "type": "string", "pattern": "^data:*", "description": "image uri with data (e.g. data:image/jpeg;base64,/9j/...). HTTP URL will not be accepted" } } } } } }, { "type": "object", "properties": { "type": { "type": "string", "description": "Type of the content provided" }, "text": { "type": "string" }, "image_url": { "type": "object", "properties": { "url": { "type": "string", "pattern": "^data:*", "description": "image uri with data (e.g. data:image/jpeg;base64,/9j/...). HTTP URL will not be accepted" } } } } } ] } } } }, "functions": { "type": "array", "items": { "type": "object", "properties": { "name": { "type": "string" }, "code": { "type": "string" } }, "required": [ "name", "code" ] } }, "tools": { "type": "array", "description": "A list of tools available for the assistant to use.", "items": { "type": "object", "oneOf": [ { "properties": { "name": { "type": "string", "description": "The name of the tool. More descriptive the better." }, "description": { "type": "string", "description": "A brief description of what the tool does." }, "parameters": { "type": "object", "description": "Schema defining the parameters accepted by the tool.", "properties": { "type": { "type": "string", "description": "The type of the parameters object (usually 'object')." }, "required": { "type": "array", "description": "List of required parameter names.", "items": { "type": "string" } }, "properties": { "type": "object", "description": "Definitions of each parameter.", "additionalProperties": { "type": "object", "properties": { "type": { "type": "string", "description": "The data type of the parameter." }, "description": { "type": "string", "description": "A description of the expected parameter." } }, "required": [ "type", "description" ] } } }, "required": [ "type", "properties" ] } }, "required": [ "name", "description", "parameters" ] }, { "properties": { "type": { "type": "string", "description": "Specifies the type of tool (e.g., 'function')." }, "function": { "type": "object", "description": "Details of the function tool.", "properties": { "name": { "type": "string", "description": "The name of the function." }, "description": { "type": "string", "description": "A brief description of what the function does." }, "parameters": { "type": "object", "description": "Schema defining the parameters accepted by the function.", "properties": { "type": { "type": "string", "description": "The type of the parameters object (usually 'object')." }, "required": { "type": "array", "description": "List of required parameter names.", "items": { "type": "string" } }, "properties": { "type": "object", "description": "Definitions of each parameter.", "additionalProperties": { "type": "object", "properties": { "type": { "type": "string", "description": "The data type of the parameter." }, "description": { "type": "string", "description": "A description of the expected parameter." } }, "required": [ "type", "description" ] } } }, "required": [ "type", "properties" ] } }, "required": [ "name", "description", "parameters" ] } }, "required": [ "type", "function" ] } ] } }, "guided_json": { "type": "object", "description": "JSON schema that should be fufilled for the response." }, "raw": { "type": "boolean", "default": false, "description": "If true, a chat template is not applied and you must adhere to the specific model's expected formatting." }, "stream": { "type": "boolean", "default": false, "description": "If true, the response will be streamed back incrementally using SSE, Server Sent Events." }, "max_tokens": { "type": "integer", "default": 256, "description": "The maximum number of tokens to generate in the response." }, "temperature": { "type": "number", "default": 0.15, "minimum": 0, "maximum": 5, "description": "Controls the randomness of the output; higher values produce more random results." }, "top_p": { "type": "number", "minimum": 0, "maximum": 2, "description": "Adjusts the creativity of the AI's responses by controlling how many possible words it considers. Lower values make outputs more predictable; higher values allow for more varied and creative responses." }, "top_k": { "type": "integer", "minimum": 1, "maximum": 50, "description": "Limits the AI to choose from the top 'k' most probable words. Lower values make responses more focused; higher values introduce more variety and potential surprises." }, "seed": { "type": "integer", "minimum": 1, "maximum": 9999999999, "description": "Random seed for reproducibility of the generation." }, "repetition_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Penalty for repeated tokens; higher values discourage repetition." }, "frequency_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Decreases the likelihood of the model repeating the same lines verbatim." }, "presence_penalty": { "type": "number", "minimum": 0, "maximum": 2, "description": "Increases the likelihood of the model introducing new topics." } }, "required": [ "messages" ] } ]}{ "oneOf": [ { "type": "object", "contentType": "application/json", "properties": { "response": { "type": "string", "description": "The generated text response from the model" }, "usage": { "type": "object", "description": "Usage statistics for the inference request", "properties": { "prompt_tokens": { "type": "number", "description": "Total number of tokens in input", "default": 0 }, "completion_tokens": { "type": "number", "description": "Total number of tokens in output", "default": 0 }, "total_tokens": { "type": "number", "description": "Total number of input and output tokens", "default": 0 } } }, "tool_calls": { "type": "array", "description": "An array of tool calls requests made during the response generation", "items": { "type": "object", "properties": { "arguments": { "type": "object", "description": "The arguments passed to be passed to the tool call request" }, "name": { "type": "string", "description": "The name of the tool to be called" } } } } }, "required": [ "response" ] }, { "type": "string", "contentType": "text/event-stream", "format": "binary" } ]}Was this helpful?
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