Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

QwQ-Max-Preview is a cutting-edge AI model based on the Qwen2.5-Max framework, specifically engineered to excel in areas such as complex reasoning, mathematical problem-solving, programming, and agent tasks. This preview showcases its enhanced capabilities across a variety of general-domain applications while demonstrating proficiency in managing intricate workflows. Anticipated to be officially released as open-source software under the Apache 2.0 license, QwQ-Max-Preview promises significant improvements and upgrades in its final iteration. Additionally, it contributes to the development of a more inclusive AI environment, as evidenced by the forthcoming introduction of the Qwen Chat application and streamlined model versions like QwQ-32B, which cater to developers interested in local deployment solutions. This initiative not only broadens accessibility but also encourages innovation within the AI community.

Description

Qwen2.5-Coder-32B-Instruct has emerged as the leading open-source code model, effectively rivaling the coding prowess of GPT-4o. It not only exhibits robust and comprehensive programming skills but also demonstrates solid general and mathematical abilities. Currently, Qwen2.5-Coder encompasses six widely used model sizes tailored to the various needs of developers. We investigate the practicality of Qwen2.5-Coder across two different scenarios, such as code assistance and artifact generation, presenting examples that illustrate its potential use cases in practical applications. As the premier model in this open-source initiative, Qwen2.5-Coder-32B-Instruct has outperformed many other open-source models on several prominent code generation benchmarks, showcasing competitive capabilities alongside GPT-4o. Additionally, the skill of code repair is crucial for programmers, and Qwen2.5-Coder-32B-Instruct proves to be an invaluable tool for users aiming to troubleshoot and rectify coding errors, thereby streamlining the programming process and enhancing efficiency. This combination of functionalities positions Qwen2.5-Coder as an indispensable resource in the software development landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Qwen Studio
Sesterce
Alibaba Cloud
BLACKBOX AI
C
C#
C++
CSS
Clojure
Elixir
F#
Go
HTML
Hyperbolic
Julia
ModelScope
PHP
Ruby
SQL
TypeScript

Integrations

Qwen Studio
Sesterce
Alibaba Cloud
BLACKBOX AI
C
C#
C++
CSS
Clojure
Elixir
F#
Go
HTML
Hyperbolic
Julia
ModelScope
PHP
Ruby
SQL
TypeScript

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwenlm.github.io/blog/qwq-max-preview/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwenlm.github.io/blog/qwen2.5-coder-family/

Product Features

Alternatives

ERNIE 4.5 Reviews

ERNIE 4.5

Baidu

Alternatives

DeepSeek R2 Reviews

DeepSeek R2

DeepSeek
DeepCoder Reviews

DeepCoder

Agentica Project
ERNIE X1 Reviews

ERNIE X1

Baidu
DeepSeek Coder Reviews

DeepSeek Coder

DeepSeek