SuperAPI AI Directory

Composer 2 - Cursor's New Generation AI Programming Model

Author: AI小集 · Original source: AI工具集

What is Composer 2

Composer 2 is Cursor the new generation AI programming model launched by, positioned as "the optimal balance of intelligence and cost." Priced at only $2.50/million tokens, it achieves a score of about 61% on the CursorBench test, with performance close to GPT-5.4 (medium) at a significantly lower cost. It scored 61.7% on Terminal-Bench 2.0 (the previous generation version 1.5 scored only 47.9%), surpassing Opus 4.6. The model is the first to adopt continued pretraining and scaled reinforcement learning techniques, and has officially launched on the Cursor platform.

Composer 2

Composer 2's Main Features

  • Intelligent Code Generation: Automatically generates complete code based on natural language descriptions, supporting end-to-end implementation of complex programming tasks.
  • Code Editing and Refactoring: Understands existing codebases and performs intelligent modifications, automatically refactoring and optimizing code structure.
  • Conversational Programming: Collaborates on coding with AI through context-aware continuous conversation, supporting follow-up questions and iterative development.
  • Multi-language Support: Supports mainstream programming languages such as Python, JavaScript, TypeScript, Go, and more.
  • Tool Integration: Deeply integrated with the Cursor editor, supporting terminal command execution and external tool invocation.
  • Autonomous Task Execution: As an Agent model, autonomously plans and executes multi-step programming tasks, greatly improving development efficiency.

Composer 2's Technical Principles

  • Continued Pretraining: Cursor conducts continued pretraining on the base model for the first time, further learning on general programming data to enhance code understanding and generation capabilities.
  • Scaled Reinforcement Learning: Optimizes model behavior through large-scale reinforcement learning, enabling it to make better decisions in complex programming tasks and improving end-to-end task completion quality.
  • Agent Architecture Design: Composer 2 adopts an Agent architecture, capable of autonomously planning multi-step tasks, invoking tools (such as terminal and file operations), and interacting with the environment to automate delivery from requirements to code.
  • Specialized Optimization: Deep optimization for programming scenarios, including specialized training for tasks such as code completion, refactoring, and debugging, enabling excellent performance on programming benchmarks such as CursorBench and Terminal-Bench.

Composer 2's Key Information and Usage Requirements

  • Positioning: A programming model with the optimal balance of intelligence and cost
  • Pricing: $2.50 / million input tokens
  • Performance: CursorBench about 61%, Terminal-Bench 2.0 reaches 61.7%
  • Technology: First continued pretraining + scaled reinforcement learning
  • Comparison: Performance close to GPT-5.4 (medium), with significantly lower cost
  • Platform: Requires installation of the Cursor editor
  • Version: Already officially launched in Cursor, no additional configuration required
  • Access: Use directly through the Composer feature entry

Composer 2's Core Advantages

  • Ultimate Cost-Effectiveness: At a low cost of $2.50/million tokens, it achieves intelligence close to GPT-5.4 (medium), redefining the cost-efficiency boundary of programming models.
  • Performance Leap: Terminal-Bench 2.0 score jumped significantly from 47.9% in version 1.5 to 61.7%, surpassing Opus 4.6, with markedly enhanced code understanding and execution capabilities.
  • Technical Breakthrough: For the first time, continual pre-training and scaled reinforcement learning are introduced, bringing the model's reasoning and planning capabilities in complex programming tasks to a new height.
  • Ready to Use: Now officially launched on the Cursor platform, no additional configuration required, experience cutting-edge programming intelligence directly through the Composer entry point.
  • Agent Capabilities: Supports autonomous planning and execution of multi-step programming tasks, enabling end-to-end automated development from requirement description to code delivery.

How to Use Composer 2

  • Install Cursor: Download and install the latest version of the Cursor editor.
  • Log In: Open Cursor and log in to your account to get started.
  • Enter Composer: Click the Composer icon in the left sidebar, or use a keyboard shortcut to open the Composer panel.
  • Start a Conversation: Describe your programming needs in natural language in the input box, and Composer 2 will automatically understand and generate code.
  • Iterative Development: Continue the conversation based on the generated results, ask follow-up questions to modify, optimize, or extend functionality, with support for multiple rounds of iteration.
  • Execute Operations: Composer 2 can autonomously execute terminal commands, create and modify files, and invoke tools to complete complex tasks.
  • Notes: Ensure a stable network connection and use the latest version of Cursor for the best experience.

Comparison of Composer 2 with Similar Competitors

Product Positioning Advantages Disadvantages Terminal-Bench 2.0
Composer 2 A programming Agent with the optimal balance of intelligence and cost Extremely high cost-effectiveness, strong Agent capabilities, end-to-end automation Relatively closed ecosystem, limited to the Cursor platform 61.7%
GitHub Copilot Code completion and suggestion tool Deep GitHub ecosystem integration, large user base Weak Agent capabilities, insufficient automation for multi-step tasks –
Claude Code (Opus 4.6) Programming Agent model Strong code understanding, good versatility Higher cost, less cost-effective than Composer 2 58.0%
GPT-5.4 General large model programming capability Top-tier performance, strongest overall capabilities High cost, Composer 2 is more economical at equivalent intelligence 75.1%

Application Scenarios of Composer 2

  • Building a Project from Scratch: Automatically generate a complete project structure and code files based on natural language requirement descriptions, enabling rapid launch and prototype development of new applications.
  • Feature Module Development: End-to-end implementation of specific business features, such as user authentication systems, payment interface integration, data visualization charts, and other complex modules.
  • Code Refactoring and Optimization: Intelligently analyze existing codebases, automatically identify outdated code patterns and refactor them, improving system performance and long-term maintainability.
  • Bug Fixing and Debugging: Precisely locate the root cause of code errors, generate targeted fix solutions and automatically execute modifications, greatly shortening the debugging cycle.