Composer 2 launched with frontier-level coding intelligence, built on Moonshot AI's open-source Kimi 2.5 model with additional reinforcement learning training applied by Cursor (75% of final compute).
Composer 2 achieves 61.3 on CursorBench (+38% vs Composer 1.5) through improved pretraining and reinforcement learning on long-horizon tasks. Pricing set at $0.50/$2.50 per 1M tokens, undercutting Claude and GPT-4 by 60-90%.
Cursor acknowledged that its newly launched Composer 2 coding model was built on Moonshot AI's open-source Kimi 2.5 model, not developed independently. The admission came after user scrutiny revealed code references to Kimi. Cursor claims only 25% of compute came from the base model, with 75% from its own training and reinforcement learning.
Cursor released Composer 2, a code-specialized model priced at $0.50 per million input tokens and $2.50 per million output tokens—roughly 90% cheaper than Claude Opus 4.6 ($5.00/$25.00) and 60% cheaper than GPT-5.4 ($2.50/$15.00). The model scores 61.3 on Cursor's internal CursorBench, competitive with Claude Opus 4.6 (58.2) but below GPT-5.4 Thinking (63.9).