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Description

Gymnasium serves as a well-maintained alternative to OpenAI’s Gym library, offering a standardized API for reinforcement learning alongside a wide variety of reference environments. Its interface is designed to be user-friendly and pythonic, effectively accommodating a range of general RL challenges while also providing a compatibility layer for older Gym environments. Central to Gymnasium is the Env class, a robust Python construct that embodies the principles of a Markov Decision Process (MDP) as described in reinforcement learning theory. This essential class equips users with the capability to generate an initial state, transition through various states in response to actions, and visualize the environment effectively. In addition to the Env class, Gymnasium offers Wrapper classes that enhance or modify the environment, specifically targeting aspects like agent observations, rewards, and actions taken. With a collection of built-in environments and tools designed to ease the workload for researchers, Gymnasium is also widely supported by numerous training libraries, making it a versatile choice for those in the field. Its ongoing development ensures that it remains relevant and useful for evolving reinforcement learning applications.

Description

Qwen3-Coder is an advanced code model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version (with 35B active) that inherently accommodates 256K-token contexts, which can be extended to 1M, and demonstrates cutting-edge performance in Agentic Coding, Browser-Use, and Tool-Use activities, rivaling Claude Sonnet 4. With a pre-training phase utilizing 7.5 trillion tokens (70% of which are code) and synthetic data refined through Qwen2.5-Coder, it enhances both coding skills and general capabilities, while its post-training phase leverages extensive execution-driven reinforcement learning across 20,000 parallel environments to excel in multi-turn software engineering challenges like SWE-Bench Verified without the need for test-time scaling. Additionally, the open-source Qwen Code CLI, derived from Gemini Code, allows for the deployment of Qwen3-Coder in agentic workflows through tailored prompts and function calling protocols, facilitating smooth integration with platforms such as Node.js and OpenAI SDKs. This combination of robust features and flexible accessibility positions Qwen3-Coder as an essential tool for developers seeking to optimize their coding tasks and workflows.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

OpenAI Yes 
Alibaba AI Coding Plan No 
Claude Fable 5 No 
Claude Fable 5.1 No 
Claude Fable 5.5 No 
Claude Mythos 5 No 
Claude Mythos 5.1 No 
Claude Opus 4.6 No 
Claude Opus 5.5 No 
Claude Sonnet 4 No 
Claude Sonnet 4.5 No 
Claude Sonnet 4.6 No 
Melaya No 
OpenSpec No 
Qwen2.5 No 
Qwen3.8-2.4T-A95B No 
Qwen3.8-Flash-Next No 
Qwen3.8-Max No 
Qwen3.8-Omni-Flash No 
QwenCloud No 

Integrations

OpenAI Yes 
Alibaba AI Coding Plan Yes 
Claude Fable 5 Yes 
Claude Fable 5.1 Yes 
Claude Fable 5.5 Yes 
Claude Mythos 5 Yes 
Claude Mythos 5.1 Yes 
Claude Opus 4.6 Yes 
Claude Opus 5.5 Yes 
Claude Sonnet 4 Yes 
Claude Sonnet 4.5 Yes 
Claude Sonnet 4.6 Yes 
Melaya Yes 
OpenSpec Yes 
Qwen2.5 Yes 
Qwen3.8-2.4T-A95B Yes 
Qwen3.8-Flash-Next Yes 
Qwen3.8-Max Yes 
Qwen3.8-Omni-Flash Yes 
QwenCloud Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Gymnasium

Country

United States

Website

gymnasium.farama.org

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

github.com/QwenLM/qwen-code

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Product Features

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