qwen3-vl-32b-instruct

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

• alibaba/qwen3-vl-32b-instruct

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Model Overview

The most advanced vision-language model in the Qwen series as of October 2025 — a non-thinking-capable version of the model. Optimized for instruction-following in image description, visual dialogue, and content-generation tasks.

How to Make a Call

Step-by-Step Instructions

1️ Setup You Can’t Skip

▪️ Create an Account: Visit the AI/ML API website and create an account (if you don’t have one yet). ▪️ Generate an API Key: After logging in, navigate to your account dashboard and generate your API key. Ensure that key is enabled on UI.

2️ Copy the code example

At the bottom of this page, you'll find a code example that shows how to structure the request. Choose the code snippet in your preferred programming language and copy it into your development environment.

3️ Modify the code example

▪️ Replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key from your account. ▪️ Insert your question or request into the content field—this is what the model will respond to.

4️ ^_(Optional) Adjust other optional parameters if needed

Only model and messages are required parameters for this model (and we’ve already filled them in for you in the example), but you can include optional parameters if needed to adjust the model’s behavior. Below, you can find the corresponding API schema, which lists all available parameters along with notes on how to use them.

5️ Run your modified code

Run your modified code in your development environment. Response time depends on various factors, but for simple prompts it rarely exceeds a few seconds.

If you need a more detailed walkthrough for setting up your development environment and making a request step by step — feel free to use our Quickstart guide.

API Schema

post

Body

application/json

modelstring · enumRequiredPossible values:

max_completion_tokensinteger · min: 1Optional

An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and reasoning tokens.

max_tokensnumber · min: 1Optional

The maximum number of tokens that can be generated in the chat completion. This value can be used to control costs for text generated via API.

streambooleanOptional

If set to True, the model response data will be streamed to the client as it is generated using server-sent events.

Default: false

tool_choiceany ofOptional

Controls which (if any) tool is called by the model. none means the model will not call any tool and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools. Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool. none is the default when no tools are present. auto is the default if tools are present.

string · enumOptional

none means the model will not call any tool and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools.

Possible values:

or

parallel_tool_callsbooleanOptional

Whether to enable parallel function calling during tool use.

temperaturenumber · max: 2Optional

What sampling temperature to use. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or top_p but not both.

top_pnumber · min: 0.01 · max: 1Optional

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.

stopany ofOptional

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

stringOptional

or

string[]Optional

or

any | nullableOptional

frequency_penaltynumber | nullableOptional

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

presence_penaltynumber | nullableOptional

Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

seedinteger · min: 1Optional

This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.

response_formatone ofOptional

An object specifying the format that the model must output.

or

or

repetition_penaltynumber | nullableOptional

A number that controls the diversity of generated text by reducing the likelihood of repeated sequences. Higher values decrease repetition.

Responses

200Success

application/jsontext/event-stream

post

/v1/chat/completions

JavaScriptPythoncURLHTTP

async function main() {
  const response = await fetch('https://api.aimlapi.com/v1/chat/completions', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      model: 'alibaba/qwen3-vl-32b-instruct',
      messages:[
          {
              role:'user',
              content: 'Hello'
          }
      ],
    }),
  });

  const data = await response.json();
  console.log(JSON.stringify(data, null, 2));
}

main();

200Success

{
  "id": "chatcmpl-CQ9FPg3osank0dx0k46Z53LTqtXMl",
  "object": "chat.completion",
  "created": 1762343744,
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! I'm just a program, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?",
        "refusal": null,
        "annotations": null,
        "audio": null,
        "tool_calls": null
      },
      "finish_reason": "stop",
      "logprobs": null
    }
  ],
  "model": "alibaba/qwen3-vl-32b-instruct",
  "usage": {
    "prompt_tokens": 137,
    "completion_tokens": 914,
    "total_tokens": 1051,
    "completion_tokens_details": null,
    "prompt_tokens_details": null
  }
}

Code Example

Python

import requests
import json  # for getting a structured output with indentation 

response = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={
        # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
        "Authorization":"Bearer <YOUR_AIMLAPI_KEY>",
        "Content-Type":"application/json"
    },
    json={
        "model":"alibaba/qwen3-vl-32b-instruct",
        "messages":[
            {
                # Insert your question for the model here:
                "content":"Hi! What do you think about mankind?"
            }
        ]
    }
)

data = response.json()
print(json.dumps(data, indent=2, ensure_ascii=False))

JavaScript

Response

{
  "choices": [
    {
      "message": {
        "content": "Hi! 😊 That’s a beautiful and deep question — one that philosophers, scientists, artists, and everyday people have been asking for centuries.\n\nI think mankind is *remarkably complex* — full of contradictions, potential, and wonder. On one hand, we’ve achieved incredible things: we’ve explored space, cured diseases, created art that moves souls, built cities that rise into the sky, and connected across continents in ways unimaginable just a century ago. We’re capable of profound kindness, empathy, creativity, and courage.\n\nOn the other hand, we’ve also caused immense suffering — through war, injustice, environmental destruction, and indifference to each other’s pain. We often struggle with our own flaws: fear, greed, ego, and short-sightedness.\n\nBut here’s what gives me hope: **we’re also capable of change**. We can learn from our mistakes. We can choose compassion over conflict, cooperation over competition. Every act of kindness, every effort to understand another, every step toward justice — these are signs that humanity is not defined by its worst impulses, but by its capacity to grow.\n\nSo, I’d say:  \n➡️ Mankind is flawed, yes — but also deeply hopeful.  \n➡️ We’re messy, but we’re trying.  \n➡️ We make mistakes, but we can also heal, create, and love.\n\nAnd perhaps most importantly — **we’re not alone in this journey**. We’re all part of something bigger, and together, we have the power to shape a better future.\n\nWhat about you? How do *you* see mankind? 💬✨",
        "role": "assistant"
      },
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null
    }
  ],
  "object": "chat.completion",
  "usage": {
    "prompt_tokens": 17,
    "completion_tokens": 329,
    "total_tokens": 346,
    "prompt_tokens_details": {
      "text_tokens": 17
    },
    "completion_tokens_details": {
      "text_tokens": 329
    }
  },
  "created": 1764625045,
  "system_fingerprint": null,
  "model": "qwen3-vl-32b-instruct",
  "id": "chatcmpl-a12ab46a-3541-93a8-8180-280ecadbb795",
  "meta": {
    "usage": {
      "tokens_used": 1960
    }
  }
}