Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    28 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    12 Ratings
    Company Website
  • Cloverleaf Reviews & Ratings
    189 Ratings
    Company Website
  • Mortgage Automator Reviews & Ratings
    189 Ratings
    Company Website
  • Upper Hand Reviews & Ratings
    306 Ratings
    Company Website
  • HERE Enterprise Browser Reviews & Ratings
    2 Ratings
    Company Website
  • InEight Reviews & Ratings
    126 Ratings
    Company Website
  • RunPod Reviews & Ratings
    205 Ratings
    Company Website
  • Innoslate Reviews & Ratings
    91 Ratings
    Company Website

What is Qwen3?

Qwen3, the latest large language model from the Qwen family, introduces a new level of flexibility and power for developers and researchers. With models ranging from the high-performance Qwen3-235B-A22B to the smaller Qwen3-4B, Qwen3 is engineered to excel across a variety of tasks, including coding, math, and natural language processing. The unique hybrid thinking modes allow users to switch between deep reasoning for complex tasks and fast, efficient responses for simpler ones. Additionally, Qwen3 supports 119 languages, making it ideal for global applications. The model has been trained on an unprecedented 36 trillion tokens and leverages cutting-edge reinforcement learning techniques to continually improve its capabilities. Available on multiple platforms, including Hugging Face and ModelScope, Qwen3 is an essential tool for those seeking advanced AI-powered solutions for their projects.

What is DeepSWE?

DeepSWE represents a groundbreaking advancement in open-source coding agents, harnessing the Qwen3-32B foundation model trained exclusively through reinforcement learning (RL) without the aid of supervised fine-tuning or proprietary model distillation. Developed using rLLM, which is Agentica's open-source RL framework tailored for language-driven agents, DeepSWE functions effectively within a simulated development environment provided by the R2E-Gym framework. This setup equips it with a range of tools, such as a file editor, search functions, shell execution, and submission capabilities, allowing the agent to adeptly navigate extensive codebases, modify multiple files, compile code, execute tests, and iteratively generate patches or fulfill intricate engineering tasks. In addition to mere code generation, DeepSWE exhibits sophisticated emergent behaviors; when confronted with bugs or feature requests, it engages in critical reasoning regarding edge cases, searches for existing tests in the codebase, proposes patches, creates additional tests to avert regressions, and adapts its cognitive strategies based on the specific challenges presented. This remarkable adaptability and efficiency position DeepSWE as a formidable asset in the software development landscape, empowering developers to tackle complex projects with greater ease and confidence. Its ability to learn from each interaction further enhances its performance, ensuring continuous improvement over time.

Media

Media

Integrations Supported

Alibaba Cloud
Baseten
CSS
Elixir
F#
HTML
Hugging Face
JavaScript
Kaggle
Kotlin
Mirai
ModelScope
Nebius Token Factory
PHP
Phala
Python
R
RunPod
SQL
TypeScript

Integrations Supported

Alibaba Cloud
Baseten
CSS
Elixir
F#
HTML
Hugging Face
JavaScript
Kaggle
Kotlin
Mirai
ModelScope
Nebius Token Factory
PHP
Phala
Python
R
RunPod
SQL
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwen3/

Company Facts

Organization Name

Agentica Project

Date Founded

2025

Company Location

United States

Company Website

agentica-project.com

Categories and Features

Popular Alternatives

Popular Alternatives

Devstral 2 Reviews & Ratings

Devstral 2

Mistral AI
Devstral Small 2 Reviews & Ratings

Devstral Small 2

Mistral AI
DeepCoder Reviews & Ratings

DeepCoder

Agentica Project
Qwen2.5-Max Reviews & Ratings

Qwen2.5-Max

Alibaba
KAT-Coder-Pro V2 Reviews & Ratings

KAT-Coder-Pro V2

StreamLake