qwen-max

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

• qwen-max

• qwen-max-2025-01-25

Model Overview

A large-scale Mixture-of-Experts (MoE) language model developed by Alibaba Cloud. It excels in language understanding, generation, and task performance across a variety of modalities. Mixture-of-Experts (MoE) Architecture: Uses 64 specialized "expert" networks, activating only relevant ones per task for efficient processing. Extensive Multilingual Support: Supports 29 languages, including Chinese, English, and Arabic. Long-Context Optimization: Supports 32K context windows with 8K generation. High Stability: Demonstrates high stability in maintaining prompt instructions, with no erroneous replies during extensive testing.

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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-max, qwen-max-2025-01-25

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-max",
    "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