HomeCursor Launches Composer 2.5, AI Programming Tool Challenges GPT-5.5 Performance
Artificial intelligence programming is undergoing a major shift. Cursor, the AI code editor developer, has officially launched a significant upgrade to its proprietary programming model—Composer 2.5. This model is fine-tuned on Moonshot AI's open-source Kimi K2.5, and the training process involved 25 times more synthetic task data than the previous version.
To maximize the model's programming logic, Cursor dedicated 85% of its computing budget directly to reinforcement learning and extended training. This aggressive research investment has resulted in a substantial performance boost, allowing the new model to handle complex coding tasks with capabilities on par with industry-leading models.
High Cost-Effectiveness Challenges Industry Giants
In industry-standard benchmarks such as SWE-Bench multi-language tests and CursorBench v3.1, Composer 2.5 achieved strong scores of 79.8% and 63.2% respectively. This performance now rivals the most powerful models available, including Anthropic Opus 4.7 and OpenAI GPT-5.5.
Despite its impressive performance, the operational cost remains remarkably low. Composer 2.5 charges only $0.50 per million input tokens and $2.50 per million output tokens—a fraction of what competitors in the large model space typically charge.
Trillion-Level Computing Builds the Next Generation Powerhouse
For developers seeking maximum speed, Cursor has also introduced a faster variant. This version maintains the same excellent performance while pricing input and output tokens at $3.00 and $15.00 per million respectively.
This highly cost-effective AI programming service is now fully available within the Cursor editor for users to try. Additionally, Cursor has partnered with SpaceX and xAI to train the next generation of disruptive successor models on the Colossus-2 cluster, which houses millions of H100 computing units, using ten times the computing capacity from scratch.
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CursorのComposer 2.5って、GPT-5.5と戦えるって噂だけど、実際に触ってみるとバグが多すぎるよ😅。開発者向けには良いかもだけど、一般ユーザーにはまだ早すぎる気がする。AIがコードを書くのは面白いけど、セキュリティリスクが心配だな。もっと安定してから使いたいよ。 #AI #Coding
Artificial intelligence programming is undergoing a major shift. Cursor, the AI code editor developer, has officially launched a significant upgrade to its proprietary programming model—Composer 2.5. This model is fine-tuned on Moonshot AI's open-source Kimi K2.5, and the training process involved 25 times more synthetic task data than the previous version.
To maximize the model's programming logic, Cursor dedicated 85% of its computing budget directly to reinforcement learning and extended training. This aggressive research investment has resulted in a substantial performance boost, allowing the new model to handle complex coding tasks with capabilities on par with industry-leading models.
High Cost-Effectiveness Challenges Industry Giants
In industry-standard benchmarks such as SWE-Bench multi-language tests and CursorBench v3.1, Composer 2.5 achieved strong scores of 79.8% and 63.2% respectively. This performance now rivals the most powerful models available, including Anthropic Opus 4.7 and OpenAI GPT-5.5.
Despite its impressive performance, the operational cost remains remarkably low. Composer 2.5 charges only $0.50 per million input tokens and $2.50 per million output tokens—a fraction of what competitors in the large model space typically charge.
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For developers seeking maximum speed, Cursor has also introduced a faster variant. This version maintains the same excellent performance while pricing input and output tokens at $3.00 and $15.00 per million respectively.
This highly cost-effective AI programming service is now fully available within the Cursor editor for users to try. Additionally, Cursor has partnered with SpaceX and xAI to train the next generation of disruptive successor models on the Colossus-2 cluster, which houses millions of H100 computing units, using ten times the computing capacity from scratch.
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CursorのComposer 2.5って、GPT-5.5と戦えるって噂だけど、実際に触ってみるとバグが多すぎるよ😅。開発者向けには良いかもだけど、一般ユーザーにはまだ早すぎる気がする。AIがコードを書くのは面白いけど、セキュリティリスクが心配だな。もっと安定してから使いたいよ。 #AI #Coding
