How to Access Qwen 3 Coder: Qwen Code; Claude Code; Trae

how to acces qwen 3 coder

Have you tried our Qwen3 Coder 480B A35B Instruct?
Qwen’s most powerful open agentic coding model!

Context Window: 262K tokens

Affordable: Just $2 per million tokens (input/output)

Qwen 3 Coder 480B A35B is a super powerful, open-source AI for coding. It’s one of the best models for helping you write code, fix bugs, and even use tools from the command line. Qwen 3 Coder beats almost all other open models and even matches some famous closed-source AIs.

Next to Kimi K2, Qwen Bring Their Code Model!

FeatureDescription
Model Size480B parameters (35B activated)
Open SourceYes
Context Length256K tokens (up to 1M tokens with Yarn)
Agentic CodingSupports most platforms (e.g., Qwen Code, CLINE); special function call format
Thinking ModeOnly non-thinking mode (does not generate <think></think>; enable_thinking=False not needed)
qwen  3 coder innocation
qwen  3 coder innocation

Qwen 3 Code VS Other Code Models

qwen 3 coder performance
  • Qwen3 Coder 480B A35B Instruct is the top open-source model for agentic coding tasks.
  • Qwen3 Coder is close to or matches proprietary (closed) models on many real-world tasks.
  • It excels not just in coding, but also in browser and tool-use tasks.
    • Evidence: On WebArena (browser use), Qwen3-Coder: 49.9, better than Kimi-K2 (47.4) and GPT-4.1 (44.3).
    • On BFCI-v3 (tool use), Qwen3-Coder: 68.7, ahead of GPT-4.1 (62.9) and Kimi-K2 (65.2).
  • Qwen3-Coder consistently outperforms all other open models, and sometimes even outperforms famous proprietary models like GPT-4.1.

How to Access Qwen 3 Coder 480B A35B by CLI Tools?

  • Faster: You can use Qwen3-Coder directly from the command line—no website or extra software needed.
  • Easier automation: It’s simple to write scripts that use Qwen3-Coder for coding tasks.
  • Fits developers’ workflow: Most developers use the command line, so Qwen3-Coder becomes a natural part of daily work.
  • Easy to scale: You can quickly process many files or projects using CLI commands.

The First: Get API Key

Step 1: Log in to your account and click on the Model Library button.

Log In and Access the Model Library

Step 2: Choose Your Model

Browse through the available options and select the model that suits your needs.

choose your model

Step 3: Start Your Free Trial

Begin your free trial to explore the capabilities of the selected model.

Start Your Free Trial on qwen 3

Step 4: Get Your API Key

To authenticate with the API, we will provide you with a new API key. Entering the “Settings“ page, you can copy the API key as indicated in the image.

get api key

Step 5: Install the API

Install API using the package manager specific to your programming language.

After installation, import the necessary libraries into your development environment. Initialize the API with your API key to start interacting with Novita AI LLM. This is an example of using chat completions API for python users.

pip install 'openai>=1.0.0'
from openai import OpenAI
  
client = OpenAI(
    base_url="https://api.novita.ai/v3/openai",
    api_key="",
)

model = "qwen/qwen3-coder-480b-a35b-instruct"
stream = True # or False
max_tokens = 131072
system_content = ""Be a helpful assistant""
temperature = 1
top_p = 1
min_p = 0
top_k = 50
presence_penalty = 0
frequency_penalty = 0
repetition_penalty = 1
response_format = { "type": "text" }

chat_completion_res = client.chat.completions.create(
    model=model,
    messages=[
        {
            "role": "system",
            "content": system_content,
        },
        {
            "role": "user",
            "content": "Hi there!",
        }
    ],
    stream=stream,
    max_tokens=max_tokens,
    temperature=temperature,
    top_p=top_p,
    presence_penalty=presence_penalty,
    frequency_penalty=frequency_penalty,
    response_format=response_format,
    extra_body={
      "top_k": top_k,
      "repetition_penalty": repetition_penalty,
      "min_p": min_p
    }
  )

if stream:
    for chunk in chat_completion_res:
        print(chunk.choices[0].delta.content or "", end="")
else:
    print(chat_completion_res.choices[0].message.content)
  
  

Qwen 3 Coder 480B A35B with Trae

Step 1: Open Trae and Access Models

Launch the Trae app. Click the Toggle AI Side Bar in the top-right corner to open the AI Side Bar. Then, go to AI Management and select Models.

Toggle AI Side Bar
go to AI Management and select Models

Step 2: Add a Custom Model and Choose Novita as Provider

Click the Add Model button to create a custom model entry. In the add-model dialog, select Provider = Novita from the dropdown menu.

Add a Custom Model
Choose Novita as Prov

Step 3: Select or Enter the Model

get api key

From the Model dropdown, pick your desired model (DeepSeek-R1-0528, Kimi K2 DeepSeek-V3-0324, or MiniMax-M1-80k). If the exact model isn’t listed, simply type the model ID that you noted from the Novita library. Ensure you choose the correct variant of the model you want to use.

You can get API Key on Novita console!

Qwen 3 Coder 480B A35B with Claude Code

Step 1: Installing Claude Code

Before installing Claude Code, ensure your system meets the minimum requirements. Node.js 18 or higher must be installed on your local environment. You can verify your Node.js version by running node --version in your terminal.

For Windows

Open Command Prompt and execute the following commands:

npm install -g @anthropic-ai/claude-code
npx win-claude-code@latest

The global installation ensures Claude Code is accessible from any directory on your system. The npx win-claude-code@latest command downloads and runs the latest Windows-specific version.

For Mac and Linux

Open Terminal and run:

npm install -g @anthropic-ai/claude-code

Mac users can proceed directly with the global installation without requiring additional platform-specific commands. The installation process automatically configures the necessary dependencies and PATH variables.

Step 2 :Setting Up Environment Variables

Environment variables configure Claude Code to use Kimi-K2 through Novita AI’s API endpoints. These variables tell Claude Code where to send requests and how to authenticate.

For Windows

Open Command Prompt and set the following environment variables:

set ANTHROPIC_BASE_URL=https://api.novita.ai/anthropic
set ANTHROPIC_AUTH_TOKEN=<Novita API Key>
set ANTHROPIC_MODEL="qwen/qwen3-coder-480b-a35b-instruct"
set ANTHROPIC_SMALL_FAST_MODEL=qwen/qwen3-coder-480b-a35b-instruct

Replace <Novita API Key> with your actual API key obtained from the Novita AI platform. These variables remain active for the current session and must be reset if you close the Command Prompt.

For Mac and Linux

Open Terminal and export the following environment variables:

export ANTHROPIC_BASE_URL="https://api.novita.ai/anthropic"
export ANTHROPIC_AUTH_TOKEN="<Novita API Key>"
export ANTHROPIC_MODEL="qwen/qwen3-coder-480b-a35b-instruct"
export ANTHROPIC_SMALL_FAST_MODEL="qwen/qwen3-coder-480b-a35b-instruct"

Step 3: Starting Claude Code

With installation and configuration complete, you can now start Claude Code in your project directory. Navigate to your desired project location using the cd command:

cd <your-project-directory>
claude .

The dot (.) parameter instructs Claude Code to operate in the current directory. Upon startup, you’ll see the Claude Code prompt appear in an interactive session.

This indicates the tool is ready to receive your instructions. The interface provides a clean, intuitive environment for natural language programming interactions.

Step 4: Using Claude Code in VSCode or Cursor

Claude Code integrates seamlessly with popular development environments. It enhances your existing workflow rather than replacing it.

You can use Claude Code directly in the terminal within VSCode or Cursor. This maintains access to your familiar development tools while leveraging AI assistance.

Additionally, Claude Code plugins are available for both VSCode and Cursor. These plugins provide deeper integration with these editors, offering inline AI assistance, code suggestions.

Qwen 3 Coder 480B A35B with Qwen Code

Qwen Code is developed on top of Gemini Code, but we have adapted the prompts and tool-calling protocols to maximize Qwen3-Coder’s performance in agentic coding tasks.

Step 1: Install Qwen Code

Prerequisites: Ensure you have Node.js version 20 or higher installed. You can download it from the official Node.js website.

Install the package globally:

npm install -g @qwen-code/qwen-code

Step 2: Configure Environment Variables

For Windows (Command Prompt):

set OPENAI_API_KEY=Your_Novita_API_Key
set OPENAI_BASE_URL=https://api.novita.ai/v3/openai
set OPENAI_MODEL=qwen/qwen3-coder-480b-a35b-instruct

For Linux and Mac (Bash):

export OPENAI_API_KEY="Your_Novita_API_Key"
export OPENAI_BASE_URL="https://api.novita.ai/v3/openai"
export OPENAI_MODEL="qwen/qwen3-coder-480b-a35b-instruct"

Step 3: Start Coding

Once configured, you can start using Qwen Code with your chosen Novita AI model. The tool will now utilize the specified model for all coding assistance tasks.

cd <your-project-directory>
qwen .

Qwen 3 Coder 480B A35B is easy to use and extremely powerful. You can run it from the command line or your favorite editor, and it’s great for big coding projects or everyday tasks.

Frequently Asked Questions

Do I need coding experience to use Qwen 3?

Basic coding knowledge helps, but the tool is designed to make coding easier for everyone.

What makes Qwen 3 Coder 480B A35B unique?

It’s the highest-performing open-source code model for agentic tasks, with massive context support and top benchmark results—often surpassing or matching closed models.

Which CLI tools support Qwen 3 Coder?

Qwen Code (official), Trae, and Claude Code all support it—just set the right environment variables and API endpoint.

Novita AI is the All-in-one cloud platform that empowers your AI ambitions. Integrated APIs, serverless, GPU Instance — the cost-effective tools you need. Eliminate infrastructure, start free, and make your AI vision a reality.

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