SWE-bench Verified (Multiple Attempts)
SWE-bench Verified is a human-validated subset of 500 test samples from the original SWE-bench dataset that evaluates AI systems' ability to automatically resolve real GitHub issues in Python repositories. Given a codebase and issue description, models must edit the code to successfully resolve the problem, requiring understanding and coordination of changes across multiple functions, classes, and files. The Verified version provides more reliable evaluation through manual validation of test samples.
Kimi K2 Instruct from Moonshot AI currently leads the SWE-bench Verified (Multiple Attempts) leaderboard with a score of 0.716 across 1 evaluated AI models.
Kimi K2 Instruct leads with 71.6%.
Progress Over Time
Interactive timeline showing model performance evolution on SWE-bench Verified (Multiple Attempts)
SWE-bench Verified (Multiple Attempts) Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | — | — |
FAQ
Common questions about SWE-bench Verified (Multiple Attempts).
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