qvq-72b-preview

This documentation is valid for the following list of our models:

• qwen/qvq-72b-preview

Model Overview

An experimental research model developed by the Qwen team, focusing on enhancing visual reasoning capabilities. This model integrates advanced multimodal processing to interpret and generate responses based on both text and visual inputs, making it particularly adept at solving complex problems that require understanding visual content.

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API Schema

Generate a conversational response using a language model.

Creates a chat completion using a language model, allowing interactive conversation by predicting the next response based on the given chat history. This is useful for AI-driven dialogue systems and virtual assistants.

post

/v1/chat/completions

Authorizations

Body

top_kinteger

repetition_penaltynumber · max: 2

min_pnumber · max: 1

top_anumber · max: 1

frequency_penaltynumber | nullable

logprobsboolean | nullable

top_logprobsnumber | nullable

max_tokensnumber · min: 1 · default: 512

max_completion_tokensinteger · min: 1

ninteger | nullable

presence_penaltynumber | nullable

seedinteger · min: 1

streamboolean · default: false

top_pnumber · min: 0.1 · max: 1

temperaturenumber · max: 2

parallel_tool_callsboolean

modelundefined · enumrequired

Options: qwen/qvq-72b-preview

reasoning_effortstring · enum

Options: low, medium, high

logit_biasobject | nullable

stream_optionsobject

stopany of

tool_choiceany of

toolsobject[]

response_formatone of

predictionobject

messagesone of[]required

Responses

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/chat/completions' \
  --header 'Authorization: Bearer JWT' \
  --header 'Content-Type: application/json' \
  --data '{
    "top_k": 1,
    "repetition_penalty": 1,
    "min_p": 1,
    "top_a": 1,
    "frequency_penalty": 1,
    "logprobs": true,
    "top_logprobs": 1,
    "max_tokens": 512,
    "max_completion_tokens": 1,
    "n": 1,
    "presence_penalty": 1,
    "seed": 1,
    "stream": false,
    "top_p": 1,
    "temperature": 1,
    "parallel_tool_calls": true,
    "model": "qwen/qvq-72b-preview",
    "reasoning_effort": "low",
    "logit_bias": {
      "ANY_ADDITIONAL_PROPERTY": 1
    },
    "stream_options": {
      "include_usage": true
    },
    "stop": "text",
    "tool_choice": "none",
    "tools": [
      {
        "type": "function",
        "function": {
          "description": "text",
          "name": "text",
          "parameters": null,
          "required": [
            "text"
          ]
        }
      }
    ],
    "response_format": {
      "type": "text"
    },
    "prediction": {
      "type": "content",
      "content": "text"
    },
    "messages": [
      {
        "name": "text",
        "role": "system",
        "content": "text"
      }
    ]
  }'

201

201

No body