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

  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    28 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    12 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • Enterprise Bot Reviews & Ratings
    23 Ratings
    Company Website
  • Yeastar P-Series PBX System Reviews & Ratings
    117 Ratings
    Company Website
  • RentGuruz Reviews & Ratings
    8 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    355 Ratings
    Company Website
  • Nexo Reviews & Ratings
    16,530 Ratings
    Company Website
  • Innoslate Reviews & Ratings
    91 Ratings
    Company Website

What is Qwen2?

Qwen2 is a comprehensive array of advanced language models developed by the Qwen team at Alibaba Cloud. This collection includes various models that range from base to instruction-tuned versions, with parameters from 0.5 billion up to an impressive 72 billion, demonstrating both dense configurations and a Mixture-of-Experts architecture. The Qwen2 lineup is designed to surpass many earlier open-weight models, including its predecessor Qwen1.5, while also competing effectively against proprietary models across several benchmarks in domains such as language understanding, text generation, multilingual capabilities, programming, mathematics, and logical reasoning. Additionally, this cutting-edge series is set to significantly influence the artificial intelligence landscape, providing enhanced functionalities that cater to a wide array of applications. As such, the Qwen2 models not only represent a leap in technological advancement but also pave the way for future innovations in the field.

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

No images available

Media

Integrations Supported

C
C#
Clojure
Elixir
Go
HTML
Hugging Face
JavaScript
Julia
MindMac
ModelScope
Molmo
PHP
Python
Qwen Chat
Rust
SQL
SSSModel
Scala
TypeScript

Integrations Supported

C
C#
Clojure
Elixir
Go
HTML
Hugging Face
JavaScript
Julia
MindMac
ModelScope
Molmo
PHP
Python
Qwen Chat
Rust
SQL
SSSModel
Scala
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

github.com/QwenLM/Qwen2

Company Facts

Organization Name

Agentica Project

Date Founded

2025

Company Location

United States

Company Website

agentica-project.com

Categories and Features

Popular Alternatives

CodeQwen Reviews & Ratings

CodeQwen

Alibaba

Popular Alternatives

Devstral 2 Reviews & Ratings

Devstral 2

Mistral AI
Devstral Small 2 Reviews & Ratings

Devstral Small 2

Mistral AI
Mathstral Reviews & Ratings

Mathstral

Mistral AI
DeepCoder Reviews & Ratings

DeepCoder

Agentica Project
Qwen3.6 Reviews & Ratings

Qwen3.6

Alibaba
KAT-Coder-Pro V2 Reviews & Ratings

KAT-Coder-Pro V2

StreamLake