Try the models
You can go to Playground to try the qwen models
Scenarios
Qwen series uses its powerful language processing capabilities to provide users with efficient and intelligent language services. Its capabilities include but are not limited to text creation, translation, and dialogue simulation. Qwen series is suitable for the following scenarios:
Text creation: writes stories, documents, emails, scripts, and poems.
Text processing: polishes text and summarizes text.
Programming assistance: writes and optimizes code.
Translation: provides translation service among various languages such as Chinese, English, Japanese, French, and Spanish.
Dialogue simulation: engages in role-playing for interactive dialogues.
Data visualization: creates charts and visualizes data.
Text generation - Qwen
The commercial models of the Qwen series, boasts the latest capabilities and enhancements over its open source counterpart.
Qwen-Max
Qwen-Max provides the best inference performance among Qwen models, especially for complex and multi-step tasks. Usage method | API reference | Online experience
Name | Version | Context | Maximum input | Maximum output | Input price | Output price | Free quota |
(Tokens) | (1,000 tokens) |
Name | Version | Context | Maximum input | Maximum output | Input price | Output price | Free quota |
(Tokens) | (1,000 tokens) |
qwen-max | Stable | 32,768 | 30,720 | 8,192 | $0.0016 | $0.0064 | 1 million tokens |
qwen-max-latest | Latest |
qwen-max-2025-01-25 Also qwen-max-0125 or Qwen2.5-Max | Snapshot |
Qwen-Plus
Qwen-Plus provides a balanced combination of performance, speed, and cost, ideal for moderately complex tasks. Usage method | API reference | Online experience
Name | Version | Context | Maximum input | Maximum output | Input price | Output price | Free quota |
(Tokens) | (1,000 tokens) |
Name | Version | Context | Maximum input | Maximum output | Input price | Output price | Free quota |
(Tokens) | (1,000 tokens) |
qwen-plus | Stable | 131,072 | 129,024 | 8,192 | $0.0004 | $0.0012 | 1 million tokens |
qwen-plus-latest | Latest |
qwen-plus-2025-01-25 Also qwen-plus-0125 | Snapshot |
Qwen-Turbo
Qwen-Turbo provides fast speed and low cost, suitable for simple tasks. Usage method | API reference | Online experience
Name | Version | Context | Maximum input | Maximum output | Input price | Output price | Free quota |
(Tokens) | (1,000 tokens) |
Name | Version | Context | Maximum input | Maximum output | Input price | Output price | Free quota |
(Tokens) | (1,000 tokens) |
qwen-turbo | Stable | 1,000,000 | 1,000,000 | 8,192 | $0.00005 | $0.0002 | 1 million tokens |
qwen-turbo-latest | Latest |
qwen-turbo-2024-11-01 Also qwen-turbo-1101 | Snapshot |
Qwen-VL
Qwen-VL integrates text generation with visual understanding, capable of performing OCR and advanced summarization and reasoning tasks. For example, it can extract attributes from product images or solve problems based on images. Usage method | API reference | Online experience
Rules for converting images to tokens: A 512×512 pixel image is roughly equivalent to 334 tokens. Images of other resolutions are converted proportionally. The smallest unit is 28×28 pixels, with each corresponding to one token. If the length or width of an image is not a multiple of 28, it is rounded up to the nearest multiple. A single image requires a minimum of 4 tokens.
Name | Version | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
Name | Version | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
qwen-vl-max | Stable | 7,500 | 6,000 Up to 1,280 per image | 1,500 | Time-limited free trial |
qwen-vl-plus | Stable |
qwen-vl-max: Compared with QwenVL-Plus, this model boasts further enhancements in visual reasoning and instruction-following capabilities. It excels in delivering optimal performance for a broader spectrum of complex tasks.
qwen-vl-plus: This model provides significantly enhanced detail and text recognition capabilities and supports images whose resolutions exceed a million pixels and various aspect ratios. It offers exceptional performance for various visual tasks.
Text generation - Qwen - open source
In the model name, 'xxb' denotes the parameter scale. For instance, 'qwen2-72b-instruct' refers to a scale of 72 billion parameters.
Model Studio facilitates the use of open source Qwen models without the need for local deployment. The Qwen2 model is recommended for the open source version.
Qwen2.5
Qwen2.5 is the latest series of the Qwen LLM. For Qwen2.5, we have launched a series of base and instruct models with parameter sizes ranging from 7 billion to 72 billion. Qwen2.5 has made the following improvements over Qwen2:
Qwen2.5 is pre-trained on our latest large-scale dataset containing 18 trillion tokens.
Thanks to our expert models in specific fields, Qwen2.5 has significantly increased knowledge and greatly improved coding and maths capabilities.
Qwen2.5 has shown significant improvements in following instructions, generating long texts (over 8K tokens), understanding structured data (such as tables), and generating structured outputs (especially JSON). It supports more diversified system prompts, enhancing its role-playing and conditional setting as a chatbot.
Qwen2.5 supports over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
Usage method| API reference| Online experience
Name | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
Name | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
qwen2.5-14b-instruct-1m | 1,000,000 | 1,000,000 | 8,192 | Time-limited free trial |
qwen2.5-7b-instruct-1m |
qwen2.5-72b-instruct | 131,072 | 129,024 |
qwen2.5-32b-instruct |
qwen2.5-14b-instruct |
qwen2.5-7b-instruct |
Qwen2
Alibaba Cloud's open source Qwen2 model. Usage method | API reference | Online experience
Name | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
Name | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
qwen2-72b-instruct | 131,072 | 128,000 | 6,144 | Time-limited free trial |
qwen2-57b-a14b-instruct | 65,536 | 63,488 |
qwen2-7b-instruct | 131,072 | 128,000 |
Qwen1.5
Alibaba Cloud's open source Qwen1.5 model. Usage method | API reference | Online experience
Name | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
Name | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
qwen1.5-110b-chat | 8,000 | 6,000 | 2,000 | Time-limited free trial |
qwen1.5-72b-chat |
qwen1.5-32b-chat |
qwen1.5-14b-chat |
qwen1.5-7b-chat |
Qwen-VL - open source
The open source version of Qwen VL models. Usage method| API reference
Qwen2.5-VL has made the following improvements over Qwen2-VL:
Significant improvements in capabilities related to instruction following, mathematical calculations, code generation, and structured outputs (JSON outputs).
Supports unified parsing of visual content such as text, charts, and layouts within images. Enhanced ability to precisely locate visual elements. Supports the representation of detection boxes (coordinates of the top-left and bottom-right corners of a rectangle) as well as point coordinates (the center point of the rectangle).
With powerful positioning and reasoning abilities, the model's agent capabilities have been greatly enhanced, allowing integration with devices like smartphones, computers, and robots to perform automated operations based on visual environments and text instructions.
Supports understanding of long video files (up to 10 minutes) with the ability to pinpoint events to the second, and can comprehend the sequence and speed of events.
Name | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
Name | Context | Maximum input | Maximum output | Input price | Output price |
(Tokens) | (1,000 tokens) |
qwen2.5-vl-72b-instruct | 131,072 | 129,024 Up tp 16,384 per image | 8,192 | Time-limited free trial |
qwen2.5-vl-7b-instruct |
qwen2.5-vl-3b-instruct |