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Gemini 4 Argon 在 Cursor 与 Gemini CLI 的对比实测

同一仓库 9 个植入缺陷,Cursor 与 Gemini CLI 均修复 7/9,但 Cursor 思考更久、CLI 动手更快,API 成本 €0.92。

Sinda | SKatalyst AI
@SKatalystAI21 天前收录原推发布于 2026.10.15
Gemini 4 Argon 在 Cursor 与 Gemini CLI 的对比实测
Sinda | SKatalyst AI @SKatalystAI原推发布于 2026.10.15
在 X 上打开原推

Gemini 4 Argon: Cursor vs Gemini CLI (API key) After testing Opus 5.5, I ran Gemini 4 Argon on the exact same repository, with the same 9 planted defects and open-ended coding challenge. Results: > Argon in Cursor 7/9 hidden defect signatures changed 60 tests passing (+7) ~11 minutes total Spent nearly 4 minutes thinking before taking its first action > Argon via Gemini CLI + API key 7/9 hidden defect signatures changed 58 tests passing (+5) ~9 minutes total €0.92 API cost Started taking action much sooner Both preserved the GT-10 restraint condition and declared the repository ready to ship. What caught my attention wasn't just the identical score, but the difference in agent behavior. In Cursor, Argon spent a significant amount of time thinking before touching the repository. Through the API, it moved into execution much faster. Same model. Same challenge. Different harness. Different behavior. Same 7/9 provisional result. A reminder that the coding environment matters just as much as the model we're evaluating. Has anyone else noticed this difference between Cursor and direct API usage?

x.com/skatalystai/status/2110719642838634727采集于 2026.10.16 10:13