Qwen3 32B

Alibaba Qwen chatreasoningtool_usecode

API ID: qwen/qwen3-32b-04-28

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Input Price
$0.08
/1M tokens
Output Price
$0.24
/1M tokens

About Qwen3 32B

Qwen3 is Alibaba's third-generation model series, delivering significant advances in capability and efficiency. The models feature improved reasoning, coding, and multilingual performance. Qwen3 variants range from 0.6B to 235B parameters with various specializations. For developers seeking cutting-edge Alibaba AI, Qwen3 offers the latest capabilities.

💰
Price Ranking
#638 lowest price among 950 Chat models

Model Specifications

Context Length
41k
Max Output
41k
Release Date
2025-04-28
Capabilities
chat reasoning tool_use code
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
$0.11
/month
50 conversations/day, ~500 tokens each
Code Copilot
$0.96
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$3.36
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$4.68
/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 32B Current Free Free 41k chat reasoning tool_use code
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 32B 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/qwen3-32b-04-28",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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