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更新时间 2026-10-07 00:00:00
Cursor · CursorBench
We evaluate agents on ambiguous, multi-file tasks from real Cursor sessions. Higher scores are better.
Avg cost / task is computed by applying each model's published per-million-token pricing (input, cache read, cache write, and output) to the tokens it used on each task. Results are subject to variance; small differences in scores may not be statistically meaningful.
We evaluate agents on ambiguous, multi-file tasks from real Cursor sessions. Higher scores are better.
Avg cost / task is computed by applying each model's published per-million-token pricing (input, cache read, cache write, and output) to the tokens it used on each task. Results are subject to variance; small differences in scores may not be statistically meaningful.
Avg cost / task is computed by applying each model's published per-million-token pricing (input, cache read, cache write, and output) to the tokens it used on each task. Results are subject to variance; small differences in scores may not be statistically meaningful.
We evaluate agents on ambiguous, multi-file tasks from real Cursor sessions. Higher scores are better.
Avg cost / task is computed by applying each model's published per-million-token pricing (input, cache read, cache write, and output) to the tokens it used on each task. Results are subject to variance; small differences in scores may not be statistically meaningful.
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