Qwen2.5-VL 7B Instruct

Alibaba Qwen chatvisiontool_usecode

API ID: qwen/qwen-2-vl-7b-instruct

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Input Price
$0.20
/1M tokens
Output Price
$0.20
/1M tokens

About Qwen2.5-VL 7B Instruct

Qwen 2 is Alibaba's second-generation model series, delivering improved performance over the original Qwen. The models feature enhanced reasoning, coding, and multilingual capability. Qwen 2 variants include 7B and 72B parameter versions. For developers seeking improved Alibaba AI, Qwen 2 offers enhanced performance.

💰
Price Ranking
#664 lowest price among 950 Chat models

Model Specifications

Context Length
33k
Max Output
—
Release Date
2024-08-28
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
$0.15
/month
50 conversations/day, ~500 tokens each
Code Copilot
$1.44
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$4.80
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$6.90
/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 7B Instruct Current Free Free 33k chat vision tool_use code
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
Qwen 2 7B Instruct Free Free 33k chat code
View All Alibaba Qwen Models →

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🚀 Quick Start

Get started with Qwen2.5-VL 7B 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/qwen-2-vl-7b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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