Qwen2.5 VL 32B Instruct

Alibaba Qwen chatvisiontool_usecode

API ID: qwen/qwen2.5-vl-32b-instruct

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Input Price
$0.05
/1M tokens
Output Price
$0.22
/1M tokens

About Qwen2.5 VL 32B Instruct

Qwen2.5 VL 32B Instruct is a budget-friendly general-purpose model from Alibaba Qwen with long context (128k), suitable for conversations, content creation, and general AI tasks.

💰
Price Ranking
#622 lowest price among 950 Chat models

Model Specifications

Context Length
128k
Max Output
—
Release Date
2025-03-24
Capabilities
chat vision tool_use code
Input Modalities
textimage
Output Modalities
text

Best For

  • Code generation, debugging, code review, refactoring
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.09
/month
50 conversations/day, ~500 tokens each
Code Copilot
$0.77
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$2.73
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$3.77
/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
Qwen2.5 VL 32B Instruct Current Free Free 128k chat vision 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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💡 Cheaper Alternatives

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$0.01 Free 32k
Qwen3 Embedding 8B
$0.01 Free 32k
Qwen3 Embedding 4B
$0.02 Free 33k

Cross Brand

GTE-Base Other
$0.0050 Free 512
E5-Base-v2 Other
$0.0050 Free 512
paraphrase-MiniLM-L6-v2 Other
$0.0050 Free 512

🚀 Quick Start

Get started with Qwen2.5 VL 32B Instruct 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/qwen2.5-vl-32b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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