Qwen3 Coder API

Strong coding accuracy focused on software engineering tasks, but with a smaller context window and less emphasis on integration.

Modalities: TextText
In / Out price: $1.06/$5.16per 1M
Context window: 262K tokens
Released: Sep 9, 2025

Qwen3 Coder overview

Qwen3 Coder by Alibaba Cloud

Qwen3-Coder API offers a 262K-token context window for advanced coding, text-to-code generation, and instruction-based workflows.

Qwen3 Coder specs

Model ID: alibaba/qwen3-coder-480b-a35b-instruct
Developer: Alibaba Cloud
Context window: 262,000 tokens
Max output: 65,536 tokens
Input: Text
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

Qwen3-Coder Description

Qwen3-Coder is an advanced AI model specialized in text-to-text coding and programming tasks, designed to support integration and handle complex workflows with a very large context window of 262K tokens.

Performance Benchmarks

Context Window: 262K tokens, allowing for extensive input and long-horizon tasks.
Task Focus: Text-to-text transformations, optimized for coding instructions and code generation.
Integration Support: Robust integration capabilities for embedding into diverse development and automation environments.

Performance Metrics

The evaluation presents the performance of various AI models across different agentic tasks, including coding, browser navigation, and tool usage. It features models like Open3-Coder, DeepSeek-V3, as well as proprietary ones such as Claude and GPT-4.1. Performance is measured through established benchmarks like SWE-bench, WebArena, and BECL-v3, reflecting each model’s proficiency in problem-solving, code generation, and interacting with external tools. The scores reveal distinct strengths: some models outperform others in specialized tasks such as coding accuracy or browser-based problem-solving, while a few demonstrate consistently strong, well-rounded capabilities across multiple benchmarks.

Key Capabilities

Advanced Coding: Excels at generating, refactoring, and instructing sophisticated multi-file codebases from textual inputs.
High-Context Reasoning: Handles complex sequences and instructions due to the large context, supporting long and multi-step workflows seamlessly.
Integration Ready: Designed to support integration frameworks, enabling automation, API usage, and embedding in larger software systems.

Comparison with Other Models

Vs. Claude 4 Opus: features a Mixture-of-Experts architecture with 480 billion parameters (35 billion active), supporting a massive 256K token context window natively and extendable to 1 million tokens. It excels in agentic coding, tool use, and autonomous workflows, delivering performance comparable to Claude 4 Sonnet in complex development tasks.
Vs. Gemini 2.0: Qwen3-Coder emphasizes agentic coding capabilities and dynamic tool and browser automation, while Gemini focuses more on broad knowledge recall and creative generation.
Vs. ChatGPT-4.1: Qwen3-Coder is specialized for coding with strong integration of agentic workflows, long-context understanding, and tool automation, whereas ChatGPT-4.1 is more general-purpose with a static knowledge cutoff and less focus on agentic code generation.

Limitations

Although Qwen3-Coder offers exceptional agentic capabilities and long-context handling, its complexity and resource demands are high, and it requires specialized infrastructure for deployment. Like other large agentic coding models, it may still face challenges with extremely novel or ambiguous coding tasks and benefits from integration with human oversight for safety and correctness.

Use cases

Large-Scale Code Generation: Particularly effective for generating and managing significant volumes of code with contextual awareness.
Software Development Automation: Facilitates autonomous pull requests, multi-file editing, and codebase refactoring.
Complex Instruction Execution: Translates intricate textual commands into executable code and structured programming outputs.

Capabilities

Function calling
Streaming
Structured outputs

Qwen3 Coder benchmarks by Artificial Analysis

See how Qwen3 Coder compares in generation speed and latency. Data retrieved Nov 4, 2026.

Speed#155 / 21962.9Output tokens / second Latency#79 / 2161.08Seconds to first token Humanity's Last Exam#360 / 4584.5%Score GPQA Diamond#262 / 43961.8%Score

Speed

Output tokens / second

Benchmark results

Compare 15 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Qwen3 Coder API pricing

Qwen3 Coder pricing in US dollars
Usage	Price	Unit
Input	$1.06	1M tokens
Output	$5.16	1M tokens
Cached input	$1.06	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Qwen3 Coder vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
Qwen3 Coder	$1.06	$5.16
Qwen3.8 Omni Flash	$0.15	$0.47
Qwen3.8-Flash	$0.16	$0.47
Qwen 3.8 27B	$0.4761	$3.39
Qwen3.8 Max Prime	$4.23	$12.7

How to use the Qwen3 Coder API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "alibaba/qwen3-coder-480b-a35b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "alibaba/qwen3-coder-480b-a35b-instruct",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/qwen3-coder-480b-a35b-instruct",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

All posts

Qwen3 Coder FAQ

What is the context window of Qwen3 Coder?

Qwen3 Coder has a 262,000 tokens context window and can return up to 65,536 tokens.

What inputs and outputs does Qwen3 Coder support?

Qwen3 Coder takes text as input and returns text.

What is the model ID for Qwen3 Coder?

Use alibaba/qwen3-coder-480b-a35b-instruct as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was Qwen3 Coder released?

Qwen3 Coder became available on September 9, 2025.

How much does Qwen3 Coder cost?

Qwen3 Coder costs $1.06 input and $5.16 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does Qwen3 Coder support streaming?

Yes, Qwen3 Coder can stream responses as they are generated.

Who created Qwen3 Coder?

Qwen3 Coder was built by Alibaba Cloud.

Start building with Qwen3 Coder

Get API key

Qwen3 Coder API

alibaba/qwen3-coder-480b-a35b-instruct

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "alibaba/qwen3-coder-480b-a35b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "alibaba/qwen3-coder-480b-a35b-instruct",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/qwen3-coder-480b-a35b-instruct",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

Docs for AI agents Plain-text index · llms.txt API documentation API reference and examples

Talk to our sales team

Thanks for reaching out

Qwen3 Coder API

Qwen3 Coder overview

Qwen3 Coder by Alibaba Cloud

Qwen3 Coder specs

Qwen3-Coder Description

Performance Benchmarks

Performance Metrics

Key Capabilities

Comparison with Other Models

Limitations

Use cases

Capabilities

Qwen3 Coder benchmarks by Artificial Analysis

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

AA-LCR

IFBench

τ²-Bench Telecom

Qwen3 Coder API pricing

Qwen3 Coder vs other models: token prices

How to use the Qwen3 Coder API

Build with your agent

1Get your API key

2Make your first request

Related articles

Qwen3 Coder FAQ

Start building with Qwen3 Coder

Qwen3 Coder API

Build with your agent

1Get your API key

2Make your first request

Qwen3 Coder API

Qwen3 Coder overview

Qwen3 Coder by Alibaba Cloud

Qwen3 Coder specs

Qwen3-Coder Description

Performance Benchmarks

Performance Metrics

Key Capabilities

Comparison with Other Models

Limitations

Use cases

Capabilities

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

AA-LCR

IFBench

τ²-Bench Telecom

Qwen3 Coder API pricing

Qwen3 Coder vs other models: token prices

How to use the Qwen3 Coder API

Build with your agent

1Get your API key

2Make your first request

Models similar to Qwen3 Coder

Qwen3.8 Max Prime

Qwen3.8 Omni Flash

Qwen3.8-Flash

Step 5 Preview

Hermes 4 405B

Kimi K2 0905 Preview

Related articles

Best AI Models for Agentic Workflows and Tool Use in 2026

Best LLMs for Long-Context & Multimodal Tasks in 2026

Qwen3 Coder FAQ

Start building with Qwen3 Coder