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Description

LongCat-2.0 represents a significant advancement in the realm of language models, featuring a staggering 1.6 trillion parameters through a Mixture-of-Experts architecture that leverages AI ASIC superpods, with approximately 48 billion parameters engaged per token, showcasing exceptional capabilities in coding and agentic tasks. This model marks a notable improvement over its predecessors by integrating a large-scale sparse architecture with specialized post-training methods tailored for tasks in real-world software development, tool utilization, long-context reasoning, and complex agent workflows. Entirely developed and executed on AI ASIC superpods, LongCat-2.0 underwent pretraining that encompassed over 35 trillion tokens and millions of accelerator hours, exemplifying cutting-edge training methodologies on innovative hardware solutions. To enhance its performance on tasks requiring long-term context, the model incorporates LongCat Sparse Attention and is trained using hundreds of billions of tokens from 1M-context datasets, enabling it to effectively manage ultra-long context tasks and ensure robust understanding of lengthy documents. This combination of features positions LongCat-2.0 as a pioneering force in the landscape of advanced language models.

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

Claude Code Yes 
Claude Fable 5.1 No 
Claude Fable 5.5 No 
Claude Haiku 5.5 No 
Claude Mythos 5 No 
Claude Mythos 5.1 No 
Claude Opus 4.6 No 
Claude Opus 4.8 No 
Claude Sonnet 4 No 
Hermes Agent Yes 
Melaya No 
Node.js No 
OpenAI No 
Qwen 4 No 
Qwen2.5 No 
Qwen3.8-2.4T-A95B No 
Qwen3.8-Max No 
Qwen3.8-Omni-Flash No 
QwenCloud No 
SuperBased No 

Integrations

Claude Code No 
Claude Fable 5.1 Yes 
Claude Fable 5.5 Yes 
Claude Haiku 5.5 Yes 
Claude Mythos 5 Yes 
Claude Mythos 5.1 Yes 
Claude Opus 4.6 Yes 
Claude Opus 4.8 Yes 
Claude Sonnet 4 Yes 
Hermes Agent No 
Melaya Yes 
Node.js Yes 
OpenAI Yes 
Qwen 4 Yes 
Qwen2.5 Yes 
Qwen3.8-2.4T-A95B Yes 
Qwen3.8-Max Yes 
Qwen3.8-Omni-Flash Yes 
QwenCloud Yes 
SuperBased 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 No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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

LongCat

Founded

2023

Country

China

Website

longcat.chat/blog/longcat-2.0/

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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