Qwen3 235B A22B Instruct 2507

Alibaba Qwen chattool_usecode Long

API ID: qwen/qwen3-235b-a22b-07-25

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Input Price
$0.07
/1M tokens
Output Price
$0.10
/1M tokens

About Qwen3 235B A22B Instruct 2507

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
#603 lowest price among 950 Chat models

Model Specifications

Context Length
262k
Max Output
—
Release Date
2025-07-21
Capabilities
chat tool_use code
Input Modalities
text
Output Modalities
text

Best For

  • Code generation, debugging, code review, refactoring
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.06
/month
50 conversations/day, ~500 tokens each
Code Copilot
$0.58
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$1.96
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$2.80
/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 235B A22B Instruct 2507 Current Free Free 262k chat 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 235B A22B Instruct 2507 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/qwen3-235b-a22b-07-25",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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