Cursor 发布 Composer 2.5：性能比肩 Opus 4.7 与 GPT-5.5，成本大幅降低
阅读原文· the-decoder.comCursor 推出了其最新的 AI 编程模型 Composer 2.5，该模型基于 Kimi K2.5 构建，训练时使用了前代模型 25 倍的合成任务数据。在性能基准测试中，Composer 2.5 达到了与 Opus 4.7 及 GPT-5.5 相当的水平，而其运行成本仅为后两者的一小部分，显著提升了成本效益比。
Cursor's Composer 2.5 matches Opus 4.7 and GPT-5.5 benchmarks at a fraction of the cost
Cursor has shipped Composer 2.5, a major upgrade to its in-house AI coding model. It builds on the open-source Kimi K2.5 checkpoint from Moonshot and was trained on 25 times more synthetic tasks than its predecessor, Composer 2. Cursor says 85 percent of the compute budget went toward extra training and reinforcement learning.
On benchmarks like SWE-Bench Multilingual (79.8 percent) and CursorBench v3.1 (63.2 percent), Composer 2.5 matches Opus 4.7 and GPT-5.5. It's far cheaper per task, though: $0.50 per million input tokens and $2.50 per million output tokens, a fraction of what Anthropic and OpenAI charge. A faster variant with the same performance runs $3.00 and $15.00, respectively. Composer 2.5 is live in Cursor now. More details are in the model documentation.