Qwen3 Coder Plus

Alibaba Qwen chatcodereasoningtool_use Long

API ID: qwen/qwen3-coder-plus

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Input Price
$0.65
/1M tokens
Output Price
$3.25
/1M tokens

About Qwen3 Coder Plus

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and environment interaction, combining coding proficiency with versatile general-purpose abilities.

💰
Price Ranking
#1036 lowest price among 1240 Chat models

Model Specifications

Context Length
1.0M
Max Output
66k
Release Date
2025-09-23
Capabilities
chat code reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Code generation, debugging, code review, refactoring
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$1.27
/month
50 conversations/day, ~500 tokens each
Code Copilot
$10.92
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$39.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$53.63
/month
500 analyses/day, ~2k tokens each
Calculate Your Custom Usage

Alibaba Qwen Model Lineup

Compare all models from Alibaba Qwen to find the best fit

Model Input Output Context Capabilities
Qwen3 Coder Plus Current Free Free 1.0M chat code reasoning tool_use
Qwen2.5-VL 7B Instruct Free Free 33k chat vision tool_use
Qwen3 Embedding 0.6B Free Free 8k chat code
Qwen3 Embedding 0.6B Free Free 8k chat code
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code
View All Alibaba Qwen Models →

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🚀 Quick Start

Get started with Qwen3 Coder Plus API

OpenAI-compatible SDK 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen/qwen3-coder-plus",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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