Qwen2.5 VL 3B Instruct

Alibaba Qwen chatvisioncode Free

API ID: qwen/qwen2.5-vl-3b-instruct

Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Qwen2.5 VL 3B Instruct

Qwen2.5 VL 3B is a multimodal LLM from the Qwen Team with the following key enhancements: - SoTA understanding of images of various resolution & ratio: Qwen2.5-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc. - Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2.5-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions. - Multilingual Support: to serve global users, besides English and Chinese, Qwen2.5-VL now supports the understanding of texts in different languages inside images, including most European languages, Japanese, Korean, Arabic, Vietnamese, etc. For more details, see this [blog post](https://qwenlm.github.io/blog/qwen2-vl/) and [GitHub repo](https://github.com/QwenLM/Qwen2-VL). Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).

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Price Ranking
#6 lowest price among 1240 Chat models โ€” Top 20% cheapest!

Model Specifications

Context Length
64k
Max Output
โ€”
Release Date
2025-03-26
Capabilities
chat vision 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
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This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

Alibaba Qwen Model Lineup

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Model Input Output Context Capabilities
Qwen2.5 VL 3B Instruct Current Free Free 64k chat vision code
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๐Ÿš€ Quick Start

Get started with Qwen2.5 VL 3B 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-3b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)