as the ai programming tools market accelerates its reshuffling, cursor has officially launched its self-developed large model, composer 2.5, completely ending its technical reliance on external closed-source models—especially the claude series—and taking a crucial step toward transitioning from an “integrator” to a “native ai engine manufacturer.”
previously, faced with the rapid expansion of anthropic’s claude code—whose annualized revenue surged to $2.5 billion within months, swiftly capturing nearly half of the market share—cursor found itself under dual pressure: core users continued to churn, while high costs for third-party api calls steadily eroded profit margins. the launch of composer 2.5 not only reversed this passive situation but also redefined competitive benchmarks with tangible performance and cost advantages.
real-world test data shows that the model achieves a 69.3% completion rate in complex end-to-end tasks and scores 79.8% on cross-language engineering comprehension tasks, placing its overall capabilities on par with claude opus 4.7. particularly noteworthy is its control over per-task costs—reducing single inference expenses to under $1, significantly lower than mainstream competitors’ pricing, thereby establishing a substantial commercial barrier. technically, cursor abandoned traditional static fine-tuning approaches, pioneering a closed-loop training mechanism of “execute–feedback–iterate,” where the model receives structured feedback in real time during coding and optimizes immediately. coupled with a reinforcement learning strategy that autonomously generates challenging reverse-engineering problems, and supported by a deep overhaul of underlying computational graphs and caching architectures, its training efficiency now ranks among the industry’s top tier.
ironically, just on the eve of composer 2.5’s release, musk had made an acquisition offer valuing the company at $60 billion, accompanied by stringent wagering clauses. following the new model’s launch, however, he not only swiftly withdrew his interest but also unusually voiced public support for cursor, calling it “the next-generation programming foundation that truly understands developers’ intentions.” this shift has greatly boosted market confidence and marks a pivotal transition in ai programming—from the stage of merely layering models onto existing frameworks to an era of natively intelligent solutions tailored to specific vertical domains.
