SuperAPI AI Directory

Composer 2.5 - Cursor's self-developed Agentic coding model

Author: AI小集 · Original source: AI工具集

What is Composer 2.5

Composer 2.5 is a self-developed Agentic coding model launched by Cursor . It shows substantial improvement over Composer 2 in intelligence and behavioral performance, and on core benchmarks such as SWE-Bench Multilingual(79.8%) and CursorBench v3.1(63.2%) , it is in the same tier as Claude Opus 4.7 and GPT-5.5, but the cost per task is only about 1/10of its competitors, earning it the title of "king of cost-effectiveness." The model is continuously trained based on Moonshot's open-source Kimi K2.5 checkpoint, and is currently only available through the Cursor IDE and SDK.

Composer 2.5

Composer 2.5's main features

  • Sustained work on long-horizon tasks: Deeply optimized for long-running Agent sessions, it can stay focused across multi-step tool calls and significantly reduces mid-task hallucinations or premature termination.
  • Reliable adherence to complex instructions: Reliability in following complex instructions such as cross-file refactoring, terminal command execution, and test-driven development is greatly improved over Composer 2.
  • Dynamic calibration of effort level: The model can automatically allocate compute based on task difficulty, completing simple tasks quickly and thinking deeply on complex tasks, avoiding "spinning idle on small things and underthinking big things."
  • Optimized communication style: Replies are more concise and structured, reducing unnecessary lengthy explanations and providing a clearer reasoning process for multi-file changes.
  • Improved tool-calling precision: Significantly reduces ineffective terminal commands or redundant searches, improving code retrieval and terminal operation efficiency.
  • Flexible adaptation with two versions: Offers Standard (standard version, $0.50/$2.50 per M tokens) and Fast (fast version, $3.00/$15.00 per M tokens), with the same level of intelligence, respectively suited to background batch tasks and interactive real-time programming.

How to use Composer 2.5

  • Enable in Cursor IDE: Update Cursor to the latest stable version from May 2026, open the Composer panel (Cmd+I / Ctrl+I), and click the model selector to switch to Composer 2.5
  • Choose a speed tier: For interactive development, use the Fast versionby default (fast response, low latency); for background Agents or batch tasks, you can switch in Settings > Models to the Standard version(low cost, same level of intelligence)
  • Programmatic invocation via SDK:
import { Agent } from "@cursor/sdk";
const agent = await Agent.create({
  model: "composer-2.5",        // Standard 版
  // model: "composer-2.5-fast", // Fast 版
  workspace: "./",
  tools: ["edit", "shell", "search", "browser"],
});
  • Set limits for long-horizon tasks: Set an upper limit on iterations and maximum elapsed time for unattended long-running Agent sessions, to prevent the model from reward hacking through "shortcuts" such as caching
  • Claim launch benefits: Double usage quota is provided in the first week of release; you can check quota consumption in the backend
  • Multi-model routing strategy: Hand 90% of daily tasks to Composer 2.5; route only architecture-review tasks to Claude Opus 4.7, and heavy terminal Shell tasks to GPT-5.5

Composer 2.5's core advantages

  • Extreme cost-effectiveness: Standard version input $0.50/M, output $2.50/M; Fast version input $3.00/M, output $15.00/M, about 10~30 times cheaper than Claude Opus 4.7.
  • Frontier-level benchmark performance: SWE-Bench Multilingual 79.8% (Opus 4.7 at 80.5%, GPT-5.5 at 77.8%), CursorBench v3.1 63.2% (roughly on par with Opus 4.7's 64.8% and GPT-5.5's 64.3%).
  • Deep behavioral optimization: In addition to scaling up training, the communication style and effort-level calibration were improved; although these dimensions are hard to fully reflect in benchmarks, they are crucial to the actual user experience.
  • Flexible choice of two versions: Standard is suited for backend Agents and batch tasks, while Fast (the default) is suited for real-time coding in interactive IDEs; both have exactly the same level of intelligence.
  • Double usage allowance at launch: Double usage quota is provided during the first week of release.

Comparison of Composer 2.5 with similar competitors

Comparison dimension Composer 2.5 Claude Opus 4.7 GPT-5.5
Vendor / Platform Cursor Anthropic OpenAI
Product positioning In-house Agentic coding model Flagship reasoning model Flagship multimodal model
Base model Moonshot Kimi K2.5 (continuous training on open-source checkpoints) Claude 4 series GPT-5 series
Release date 2026.05.18 Q2 2026 Q2 2026
SWE-Bench Multilingual 79.8% 80.5% 77.8%
Terminal-Bench 2.0 69.3% 69.4% 82.7%
CursorBench v3.1 (hard tasks) 63.2% 64.8% (max) / 61.6% (default xhigh) 64.3% (xhigh) / 59.2% (default medium)
Input price (/M tokens) $0.50(Standard)<
$3.00(Fast)
Not disclosed (industry reference about $15) Not disclosed (industry reference about $3–$5)
Output price (/M tokens) $2.50(Standard)<
$15.00(Fast)
Not disclosed (industry reference about $75) Not disclosed (industry reference about $15–$30)
Relative cost per task Baseline (about $1–$2 / task) about 10–30 times about 3–10 times
Context window ~200K (refer to Kimi K2.5) 200K 128K–1M
Weight openness Closed source (Cursor infrastructure only) Closed source Closed source
Access methods Cursor IDE / CLI / @cursor/sdk API / Claude Code / third-party platforms API / ChatGPT / GitHub Copilot

Application scenarios of Composer 2.5

  • Multi-file refactoring: The cost advantage is obvious and the accuracy is on par with frontier models, making it suitable for large-scale codebase migration.
  • Interactive pair programming: The Fast version responds quickly and is suitable for real-time IDE collaboration.
  • Backend scheduled tasks / cloud Agents: The Standard version is extremely cost-effective and is suitable for batch code review and fixes.
  • Test-driven development: Reliability on long-running tasks is better than the previous generation, and it can stably complete multiple rounds of test-fix cycles.
  • Complex terminal automation: Terminal-Bench 2.0 score is 69.3%, on par with Opus 4.7 (69.4%), but in heavy Shell scenarios it is still slightly behind GPT-5.5 (82.7%).