Alibaba Cloud Model Studio:Overview

import os
from openai import OpenAI

try:
    client = OpenAI(
        # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
        # If you haven't set the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: api_key="sk-xxx",
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # Endpoint for the Asia Pacific SE 1 (Singapore) region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
        base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
    )

    completion = client.chat.completions.create(
        model="qwen3.6-plus",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": "Who are you?"},
        ],
    )
    print(completion.choices[0].message.content)
    # To view the full response, uncomment the following line.
    # print(completion.model_dump_json())
except Exception as e:
    print(f"Error message: {e}")
    print("For more information, see the documentation: https://www.alibabacloud.com/help/en/model-studio/error-code")

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

// We recommend using OpenAI Java SDK v3.5.0 or later.
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.ChatCompletion;
import com.openai.models.chat.completions.ChatCompletionCreateParams;

public class Main {
    public static void main(String[] args) {
        try {
            OpenAIClient client = OpenAIOkHttpClient.builder()
                    // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
                    // If you haven't set the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: .apiKey("sk-xxx")
                    .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                    // Endpoint for the Asia Pacific SE 1 (Singapore) region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
                    .baseUrl("https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1")
                    .build();

            // Create ChatCompletion parameters.
            ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
                    .model("qwen3.6-plus")
                    .addSystemMessage("You are a helpful assistant.")
                    .addUserMessage("Who are you?")
                    .build();

            // Send the request and receive the response.
            ChatCompletion chatCompletion = client.chat().completions().create(params);
            String content = chatCompletion.choices().get(0).message().content().orElse("No valid content returned");
            System.out.println(content);
            
        } catch (Exception e) {
            System.err.println("Error message: " + e.getMessage());
            System.out.println("For more information, see the documentation: https://www.alibabacloud.com/help/en/model-studio/error-code");
        }
    }
}

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

// This code requires Node.js v18+ and must be run in an ES Module environment.
import OpenAI from "openai";

const openai = new OpenAI(
    {
        // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
        // If you haven't set the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: apiKey: "sk-xxx",
        apiKey: process.env.DASHSCOPE_API_KEY,
        // Endpoint for the Asia Pacific SE 1 (Singapore) region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
        baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
        
    }
);
const completion = await openai.chat.completions.create({
    model: "qwen3.6-plus",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        { role: "user", content: "Who are you?" }
    ],
});
console.log(completion.choices[0].message.content);
// To view the full response, uncomment the following line.
// console.log(JSON.stringify(completion, null, 4));

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

// We recommend using OpenAI Go SDK v2.4.0 or later.
package main

import (
	"context"
	// To view the full response, uncomment the import below and the related code at the end.
	// "encoding/json"
	"fmt"
	"os"

	"github.com/openai/openai-go/v2"
	"github.com/openai/openai-go/v2/option"
)

func main() {
	// If you haven't set the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: apiKey := "sk-xxx"
	apiKey := os.Getenv("DASHSCOPE_API_KEY")
	client := openai.NewClient(
		option.WithAPIKey(apiKey),
		// API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
		// Endpoint for the Asia Pacific SE 1 (Singapore) region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
		option.WithBaseURL("https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"),
	)
	chatCompletion, err := client.Chat.Completions.New(
		context.TODO(), openai.ChatCompletionNewParams{
			Messages: []openai.ChatCompletionMessageParamUnion{
				openai.SystemMessage("You are a helpful assistant."),
				openai.UserMessage("Who are you?"),
			},
			Model: "qwen3.6-plus",
		},
	)

	if err != nil {
		fmt.Fprintf(os.Stderr, "Request failed: %v\n", err)
		// For more information, see the documentation: https://www.alibabacloud.com/help/en/model-studio/error-code
		os.Exit(1)
	}

	if len(chatCompletion.Choices) > 0 {
		fmt.Println(chatCompletion.Choices[0].Message.Content)
	}
	// To view the full response, uncomment the following lines.
	// jsonData, _ := json.MarshalIndent(chatCompletion, "", "  ")
	// fmt.Println(string(jsonData))

}

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;

class Program
{
    private static readonly HttpClient httpClient = new HttpClient();

    static async Task Main(string[] args)
    {
        // If you haven't set the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: string? apiKey = "sk-xxx";
        string? apiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY");
        // Endpoint for the Asia Pacific SE 1 (Singapore) region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
        string url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions";
        string jsonContent = @"{
            ""model"": ""qwen3.6-plus"",
            ""messages"": [
                {
                    ""role"": ""system"",
                    ""content"": ""You are a helpful assistant.""
                },
                {
                    ""role"": ""user"", 
                    ""content"": ""Who are you?""
                }
            ]
        }";

        // Send the request and receive the response.
        string result = await SendPostRequestAsync(url, jsonContent, apiKey);
        
        // To view the full response, uncomment the following line.
        // Console.WriteLine(result);

        // Parse the JSON to extract and print the content.
        using JsonDocument doc = JsonDocument.Parse(result);
        JsonElement root = doc.RootElement;
        
        if (root.TryGetProperty("choices", out JsonElement choices) && 
            choices.GetArrayLength() > 0)
        {
            JsonElement firstChoice = choices[0];
            if (firstChoice.TryGetProperty("message", out JsonElement message) &&
                message.TryGetProperty("content", out JsonElement content))
            {
                Console.WriteLine(content.GetString());
            }
        }
    }

    private static async Task<string> SendPostRequestAsync(string url, string jsonContent, string apiKey)
    {
        using (var content = new StringContent(jsonContent, Encoding.UTF8, "application/json"))
        {
            httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
            httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
            HttpResponseMessage response = await httpClient.PostAsync(url, content);
            if (response.IsSuccessStatusCode)
            {
                return await response.Content.ReadAsStringAsync();
            }
            else
            {   
                // For more information, see the documentation: https://www.alibabacloud.com/help/en/model-studio/error-code
                return $"Request failed: {response.StatusCode}";
            }
        }
    }
}

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

<?php
// Set the request URL.
// Endpoint for the Asia Pacific SE 1 (Singapore) region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
$url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions';
// API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
// If you haven't set the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: $apiKey = "sk-xxx";
$apiKey = getenv('DASHSCOPE_API_KEY');
// Set the request headers.
$headers = [
    'Authorization: Bearer '.$apiKey,
    'Content-Type: application/json'
];
// Set the request body.
$data = [
    "model" => "qwen3.6-plus",
    "messages" => [
        [
            "role" => "system",
            "content" => "You are a helpful assistant."
        ],
        [
            "role" => "user",
            "content" => "Who are you?"
        ]
    ]
];
// Initialize a cURL session.
$ch = curl_init();
// Set cURL options.
curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
// Execute the cURL session.
$response = curl_exec($ch);
// Check for errors.
// For more information, see the documentation: https://www.alibabacloud.com/help/en/model-studio/error-code
if (curl_errno($ch)) {
    echo 'Curl error: ' . curl_error($ch);
}
// Close the cURL resource.
curl_close($ch);
// Parse and output the response content.
$dataObject = json_decode($response);
$content = $dataObject->choices[0]->message->content;
echo $content;
// To view the full response, uncomment the following line.
//echo $response;
?>

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

# Modify the endpoint URL for your region.
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "qwen3.6-plus",
    "messages": [
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user", 
            "content": "Who are you?"
        }
    ]
}'

Response

{
    "choices": [
        {
            "message": {
                "role": "assistant",
                "content": "I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!"
            },
            "finish_reason": "stop",
            "index": 0,
            "logprobs": null
        }
    ],
    "object": "chat.completion",
    "usage": {
        "prompt_tokens": 26,
        "completion_tokens": 66,
        "total_tokens": 92
    },
    "created": 1726127645,
    "system_fingerprint": null,
    "model": "qwen3.6-plus",
    "id": "chatcmpl-81951b98-28b8-9659-ab07-xxxxxx"
}

import os
from openai import OpenAI

try:
    client = OpenAI(
        # API Keys vary by region. Get your API Key at: https://www.alibabacloud.com/help/en/model-studio/get-api-key
        # If you do not set the environment variable, provide your API Key directly: api_key="sk-xxx",
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # The base URL varies by region. Update it to match your service region.
        base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
    )

    response = client.responses.create(
        model="qwen3.6-plus", 
        input="Briefly introduce what you can do."
    )

    print(response)
except Exception as e:
    print(f"An error occurred: {e}")
    print("For details, see the error code documentation: https://www.alibabacloud.com/help/en/model-studio/error-code")

Response

Key response fields:

• id: The response ID.

• output: List containing reasoning and message objects.

  reasoning only appears when thinking is enabled (enabled by default for Qwen3.6 series).

• usage: Token usage.

Sample message content. For the full response, see the curl section.

Hello! I'm an AI assistant with knowledge current as of 2026. Here's a brief overview of what I can do:

*   **Content Creation:** Write emails, articles, stories, scripts, and more.
*   **Coding & Tech:** Generate, debug, and explain code across various programming languages.
*   **Analysis & Summarization:** Process documents, interpret data, and extract key insights.
*   **Problem Solving:** Assist with math, logic, reasoning, and strategic planning.
*   **Learning & Translation:** Explain complex topics simply or translate between multiple languages.

Feel free to ask me anything or give me a task to get started!

// Node.js v18+ is required. This code must be run in an ES Module environment.
import OpenAI from "openai";

const openai = new OpenAI({
    // API Keys vary by region. Get your API Key at: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    // If you do not set the environment variable, provide your API Key directly: apiKey: "sk-xxx",
    apiKey: process.env.DASHSCOPE_API_KEY,
    // The base URL varies by region. Update it to match your service region.
    baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
});

async function main() {
    try {
        const response = await openai.responses.create({
            model: "qwen3.6-plus",
            input: "Briefly introduce what you can do."
        });

        // Get the model response
        console.log(response);
    } catch (error) {
        console.error("An error occurred:", error);
    }
}

main();

Response

Key response fields:

• id: The response ID.

• output: List containing reasoning and message objects.

  reasoning only appears when thinking is enabled (enabled by default for Qwen3.6 series).

• usage: Token usage.

Sample message content. For the full response, see the curl section.

Hello! I'm an AI assistant with knowledge current as of 2026. Here's a brief overview of what I can do:

*   **Content Creation:** Write emails, articles, stories, scripts, and more.
*   **Coding & Tech:** Generate, debug, and explain code across various programming languages.
*   **Analysis & Summarization:** Process documents, interpret data, and extract key insights.
*   **Problem Solving:** Assist with math, logic, reasoning, and strategic planning.
*   **Learning & Translation:** Explain complex topics simply or translate between multiple languages.

Feel free to ask me anything or give me a task to get started!

# The endpoint URL varies by region. Update it to match your service region.
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/responses \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "qwen3.6-plus",
    "input": "Briefly introduce what you can do.",
    "enable_thinking": true
}'

Response

{
    "created_at": 1772249518,
    "id": "7ad48c6b-3cc4-904f-9284-5f419c6c5xxx",
    "model": "qwen3.6-plus",
    "object": "response",
    "output": [
        {
            "id": "msg_94805179-2801-45da-ac1c-a87e8ea20xxx",
            "summary": [
                {
                    "text": "The user is asking for a brief introduction of my capabilities. I will start by recalling the features listed in the system message, ensuring I cover the main points concisely.\n\nFirst, I should mention the enhanced language foundation and architectural efficiency. Next, the upgraded logical reasoning and mathematical capabilities. Visual analysis, including charts and formulas, is a key point. Autonomous agent planning and code generation are also important. Other features include human alignment optimization for better interaction, long-context handling up to 256K tokens, and multilingual support with OCR.\n\nSince the user asked for a \"brief\" overview, I need to be concise. I will group some points together and summarize each capability in a sentence or two, avoiding technical jargon where possible. I'll check the examples in the system message for a suitable structure.\n\nTo make it practical, I'll highlight how these features apply to real tasks, such as handling long documents, solving math problems, analyzing images, and writing code.\n\nI will structure the response as a list of key capabilities with short explanations, starting with a greeting and ending with an offer to help with specific tasks.\n\nMy introduction will identify me as the requested model, qwen3.6-plus.\n\nI will not mention the knowledge cutoff unless it's relevant. Since the current date is 2026 and my knowledge is current as of 2026, this is not an issue.\n\nMy draft will be a concise, friendly, and inviting response that highlights each capability.\n",
                    "type": "summary_text"
                }
            ],
            "type": "reasoning"
        },
        {
            "content": [
                {
                    "annotations": [],
                    "text": "I'm **Qwen3.6-plus**, a large language model designed to assist with a wide range of tasks. Here's what I can do:  \n\n- **Understand & Generate Text**: Handle complex instructions, creative writing, and multi-step tasks with improved accuracy.  \n- **Solve Problems**: Tackle advanced math, logic puzzles, and scientific reasoning with step-by-step clarity.  \n- **Analyze Visuals**: Interpret charts, diagrams, formulas, and even extract text from images (OCR).  \n- **Plan & Execute**: Break down goals into actionable steps, run code, or interact with tools autonomously.  \n- **Code & Debug**: Write, explain, or fix code in multiple programming languages.  \n- **Long-Context Mastery**: Process documents, books, or videos up to **256K tokens** without losing key details.  \n- **Multilingual Support**: Communicate fluently in **100+ languages**, including low-resource ones.  \n\nNeed help with something specific? Just ask!",
                    "type": "output_text"
                }
            ],
            "id": "msg_35be06c6-ca4d-4f2b-9677-7897e488dxxx",
            "role": "assistant",
            "status": "completed",
            "type": "message"
        }
    ],
    "parallel_tool_calls": false,
    "status": "completed",
    "tool_choice": "auto",
    "tools": [],
    "usage": {
        "input_tokens": 54,
        "input_tokens_details": {
            "cached_tokens": 0
        },
        "output_tokens": 662,
        "output_tokens_details": {
            "reasoning_tokens": 447
        },
        "total_tokens": 716,
        "x_details": [
            {
                "input_tokens": 54,
                "output_tokens": 662,
                "output_tokens_details": {
                    "reasoning_tokens": 447
                },
                "total_tokens": 716,
                "x_billing_type": "response_api"
            }
        ]
    }
}

import json
import os
from dashscope import Generation
import dashscope

# The following URL is for the Singapore region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1"

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Who are you?"},
]
response = Generation.call(
    # API keys vary by region. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
    # If you have not set the environment variable, replace the following line with your Model Studio API key: api_key = "sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # qwen3.7-max, qwen3.7-max-2026-05-20, and qwen3.6-max-preview only support the text API. qwen3.7-max-2026-06-08 supports the multimodal API. Qwen3.6 and Qwen3.5 series require the multimodal API. Directly replacing the model will cause an error.
    model="qwen-plus",
    messages=messages,
    result_format="message",
)

if response.status_code == 200:
    print(response.output.choices[0].message.content)
    # To view the full response, uncomment the following line.
    # print(json.dumps(response, default=lambda o: o.__dict__, indent=4))
else:
    print(f"HTTP status code: {response.status_code}")
    print(f"Error code: {response.code}")
    print(f"Error message: {response.message}")
    print("For more information, see: https://www.alibabacloud.com/help/en/model-studio/error-code")

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

import java.util.Arrays;
import java.lang.System;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.protocol.Protocol;
import com.alibaba.dashscope.utils.JsonUtils;

public class Main {
    public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
        // The following URL is for the Singapore region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
        Generation gen = new Generation(Protocol.HTTP.getValue(), "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1");
        Message systemMsg = Message.builder()
                .role(Role.SYSTEM.getValue())
                .content("You are a helpful assistant.")
                .build();
        Message userMsg = Message.builder()
                .role(Role.USER.getValue())
                .content("Who are you?")
                .build();
        GenerationParam param = GenerationParam.builder()
                // API keys vary by region. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
                // If you have not set the environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                // qwen3.7-max, qwen3.7-max-2026-05-20, and qwen3.6-max-preview only support the text API. qwen3.7-max-2026-06-08 supports the multimodal API. Qwen3.6 and Qwen3.5 series require the multimodal API. Directly replacing the model will cause an error.
                .model("qwen-plus")
                .messages(Arrays.asList(systemMsg, userMsg))
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .build();
        return gen.call(param);
    }
    public static void main(String[] args) {
        try {
            GenerationResult result = callWithMessage();
            System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent());
            // To view the full response, uncomment the following line.
            // System.out.println(JsonUtils.toJson(result));
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("Error message: "+e.getMessage());
            System.out.println("For more information, see: https://www.alibabacloud.com/help/en/model-studio/error-code");
        }
    }
}

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

// Requires Node.js v18+
// If you have not set the environment variable, replace the following line with your Model Studio API key: const apiKey = "sk-xxx";
const apiKey = process.env.DASHSCOPE_API_KEY;

const data = {
    // qwen3.7-max, qwen3.7-max-2026-05-20, and qwen3.6-max-preview only support the text API. qwen3.7-max-2026-06-08 supports the multimodal API. Qwen3.6 and Qwen3.5 series require the multimodal API. Directly replacing the model will cause an error.
    model: "qwen-plus",
    input: {
        messages: [
            {
                role: "system",
                content: "You are a helpful assistant."
            },
            {
                role: "user",
                content: "Who are you?"
            }
        ]
    },
    parameters: {
        result_format: "message"
    }
};

async function callApi() {
    try {
            // The following URL is for the Singapore region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
            const response = await fetch('https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation', {
            method: 'POST',
            headers: {
                'Authorization': `Bearer ${apiKey}`,
                'Content-Type': 'application/json'
            },
            body: JSON.stringify(data)
        });

        const result = await response.json();
        console.log(result.output.choices[0].message.content);
        // To view the full response, uncomment the following line.
        // console.log(JSON.stringify(result));
    } catch (error) {
        // For more information, see: https://www.alibabacloud.com/help/en/model-studio/error-code
        console.error('Request failed:', error.message);
    }
}

callApi();

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io"
	"log"
	"net/http"
	"os"
)

func main() {
	requestBody := map[string]interface{}{
		// qwen3.7-max, qwen3.7-max-2026-05-20, and qwen3.6-max-preview only support the text API. qwen3.7-max-2026-06-08 supports the multimodal API. Qwen3.6 and Qwen3.5 series require the multimodal API. Directly replacing the model will cause an error.
		"model": "qwen-plus",
		"input": map[string]interface{}{
			"messages": []map[string]string{
				{
					"role":    "system",
					"content": "You are a helpful assistant.",
				},
				{
					"role":    "user",
					"content": "Who are you?",
				},
			},
		},
		"parameters": map[string]string{
			"result_format": "message",
		},
	}

	// Serialize to JSON.
	jsonData, _ := json.Marshal(requestBody)

	// Create an HTTP client and request.
	client := &http.Client{}
	// The following URL is for the Singapore region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
	req, _ := http.NewRequest("POST", "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation", bytes.NewBuffer(jsonData))

	// Set request headers.
	apiKey := os.Getenv("DASHSCOPE_API_KEY")
	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

	// Send the request.
	resp, err := client.Do(req)
	if err != nil {
		log.Fatal(err)
	}
	defer resp.Body.Close()

	// Read the response body.
	bodyText, _ := io.ReadAll(resp.Body)

	// Parse the JSON and print the content.
	var result map[string]interface{}
	json.Unmarshal(bodyText, &result)
	content := result["output"].(map[string]interface{})["choices"].([]interface{})[0].(map[string]interface{})["message"].(map[string]interface{})["content"].(string)
	fmt.Println(content)

	// To view the full response, uncomment the following line.
	// fmt.Printf("%s\n", bodyText)
}

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!

using System.Net.Http.Headers;
using System.Text;

class Program
{
    private static readonly HttpClient httpClient = new HttpClient();

    static async Task Main(string[] args)
    {
        // API keys vary by region. To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
        // If you have not set the environment variable, replace the following line with your Model Studio API key: string? apiKey = "sk-xxx";
        string? apiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY");
        // Set the request URL and content.
        // The following URL is for the Singapore region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
        string url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation";
        // qwen3.7-max, qwen3.7-max-2026-05-20, and qwen3.6-max-preview only support the text API. qwen3.7-max-2026-06-08 supports the multimodal API. Qwen3.6 and Qwen3.5 series require the multimodal API. Directly replacing the model will cause an error.
        string jsonContent = @"{
            ""model"": ""qwen-plus"",
            ""input"": {
                ""messages"": [
                    {
                        ""role"": ""system"",
                        ""content"": ""You are a helpful assistant.""
                    },
                    {
                        ""role"": ""user"",
                        ""content"": ""Who are you?""
                    }
                ]
            },
            ""parameters"": {
                ""result_format"": ""message""
            }
        }";

        // Send the request and get the response.
        string result = await SendPostRequestAsync(url, jsonContent, apiKey);
        var jsonResult = System.Text.Json.JsonDocument.Parse(result);
        var content = jsonResult.RootElement.GetProperty("output").GetProperty("choices")[0].GetProperty("message").GetProperty("content").GetString();
        Console.WriteLine(content);
        // To view the full response, uncomment the following line.
        // Console.WriteLine(result);
    }

    private static async Task<string> SendPostRequestAsync(string url, string jsonContent, string? apiKey)
    {
        using (var content = new StringContent(jsonContent, Encoding.UTF8, "application/json"))
        {
            // Set request headers.
            httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
            httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));

            // Send the request and get the response.
            HttpResponseMessage response = await httpClient.PostAsync(url, content);

            // Handle the response.
            if (response.IsSuccessStatusCode)
            {
                return await response.Content.ReadAsStringAsync();
            }
            else
            {
                return $"Request failed: {response.StatusCode}";
            }
        }
    }
}

Response

{
    "output": {
        "choices": [
            {
                "finish_reason": "stop",
                "message": {
                    "role": "assistant",
                    "content": "I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!"
                }
            }
        ]
    },
    "usage": {
        "total_tokens": 92,
        "output_tokens": 66,
        "input_tokens": 26
    },
    "request_id": "09dceb20-ae2e-999b-85f9-xxxxxx"
}

<?php
// The following URL is for the Singapore region. Replace {WorkspaceId} with your Workspace ID. URLs vary by region.
$url = "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation";
// To get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
$apiKey = getenv('DASHSCOPE_API_KEY');

$data = [
    // qwen3.7-max, qwen3.7-max-2026-05-20, and qwen3.6-max-preview only support the text API. qwen3.7-max-2026-06-08 supports the multimodal API. Qwen3.6 and Qwen3.5 series require the multimodal API. Directly replacing the model will cause an error.
    "model" => "qwen-plus",
    "input" => [
        "messages" => [
            [
                "role" => "system",
                "content" => "You are a helpful assistant."
            ],
            [
                "role" => "user",
                "content" => "Who are you?"
            ]
        ]
    ],
    "parameters" => [
        "result_format" => "message"
    ]
];

$jsonData = json_encode($data);

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, $jsonData);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer $apiKey",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
$httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);

if ($httpCode == 200) {
    $jsonResult = json_decode($response, true);
    $content = $jsonResult['output']['choices'][0]['message']['content'];
    echo $content;
    // To view the full response, uncomment the following line.
    // echo "Model response: " . $response;
} else {
    echo "Request failed: " . $httpCode . " - " . $response;
}

curl_close($ch);
?>

Response

I am Qwen, a large-scale language model developed by Tongyi Lab at Alibaba Group. I can help you answer questions and create content, such as writing stories, official documents, emails, and scripts. I can also do logical reasoning, program, share opinions, play games, and more. If you have any questions or need help, feel free to ask!