qwen-turbo

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

• qwen-turbo

Model Overview

This model is designed to enhance both the performance and efficiency of AI agents developed on the Alibaba Cloud Model Studio platform. Optimized for speed and precision in generative AI application development. Improves AI agent comprehension and adaptation to enterprise data, especially when integrated with Retrieval-Augmented Generation (RAG) architectures. Large context window (1,000,000 tokens).

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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

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-turbo

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 '{
    "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-turbo",
    "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

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No body