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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Composer 2 is a high-performance AI coding model available within Cursor, built to handle complex programming tasks with improved accuracy and efficiency. It is trained through advanced pretraining and reinforcement learning, allowing it to solve long-horizon coding problems that involve multiple steps and decisions. The model shows significant improvements across major benchmarks such as Terminal-Bench and SWE-bench Multilingual, reflecting its strong real-world coding capabilities. It delivers faster performance while maintaining high-quality outputs, making it suitable for demanding development workflows. Composer 2 is designed to balance intelligence and cost, offering competitive pricing compared to other frontier models. It also includes a faster variant that provides the same level of intelligence with optimized speed for time-sensitive tasks. The model is integrated directly into the Cursor platform, enabling seamless use within development environments. Its ability to handle complex coding scenarios makes it valuable for both individual developers and teams. Overall, Composer 2 enhances productivity by automating and accelerating software development tasks.

Description

Qwen3-Coder is a versatile coding model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version with 35B active parameters, which naturally accommodates 256K-token contexts that can be extended to 1M tokens. This model achieves impressive performance that rivals Claude Sonnet 4, having undergone pre-training on 7.5 trillion tokens, with 70% of that being code, and utilizing synthetic data refined through Qwen2.5-Coder to enhance both coding skills and overall capabilities. Furthermore, the model benefits from post-training techniques that leverage extensive, execution-guided reinforcement learning, which facilitates the generation of diverse test cases across 20,000 parallel environments, thereby excelling in multi-turn software engineering tasks such as SWE-Bench Verified without needing test-time scaling. In addition to the model itself, the open-source Qwen Code CLI, derived from Gemini Code, empowers users to deploy Qwen3-Coder in dynamic workflows with tailored prompts and function calling protocols, while also offering smooth integration with Node.js, OpenAI SDKs, and environment variables. This comprehensive ecosystem supports developers in optimizing their coding projects effectively and efficiently.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud No 
Brokk No 
Cursor Yes 
Gemini No 
Gemini Enterprise No 
Nebius Token Factory No 
NexaSDK No 
Node.js No 
Okara No 
OpenAI No 
OpenClaw No 
OpenCode No 
Oxlo.ai No 
Qwen2.5 No 
Shiori No 
SiliconFlow No 
Tinfoil No 
Together AI No 

Integrations

Alibaba Cloud Yes 
Brokk Yes 
Cursor No 
Gemini Yes 
Gemini Enterprise Yes 
Nebius Token Factory Yes 
NexaSDK Yes 
Node.js Yes 
Okara Yes 
OpenAI Yes 
OpenClaw Yes 
OpenCode Yes 
Oxlo.ai Yes 
Qwen2.5 Yes 
Shiori Yes 
SiliconFlow Yes 
Tinfoil Yes 
Together AI Yes 

Pricing Details

$0.50/M input
$0.50/M input and $2.50/M output tokens
Free Trial No 
Free Version Yes 

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 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

Cursor

Founded

2022

Country

United States

Website

cursor.com

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

qwenlm.github.io/blog/qwen3-coder/

Product Features

Product Features

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