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Openai says nearly a third of swe-bench pro's questions are flawed. vendors don't fight each other…

Yethikrishna ROriginal on Threads

openai says nearly a third of swe-bench pro's questions are flawed. vendors don't fight each other anymore, they audit the test set.

next time a repo posts its score, ask who owns the questions.

Context

OpenAI's post, dated 8 July 2026 by search metadata, estimates that about 30% of SWE-bench Pro tasks are broken. An automated pipeline flagged 200 tasks (27.4%) and human annotation identified 249 (34.1%). The process started with 286 flagged tasks, used Codex-based investigator agents plus human review, and each task was reviewed by five engineers. OpenAI calls the figure an estimate and says the earlier SWE-bench Verified lost signal, which led it to recommend Pro.

How it compares

Nearly a third is the note's paraphrase of about 30%, within a 27.4 to 34.1% range. The post is dated 8 July 2026, 72 days before the note, and no newer OpenAI statement was found. The audited counts are kept as stated; a dataset total is not inferred from rounded fractions. The figures are OpenAI's own, not independent. Vendors audit the test set is the author's opinion, with no evidence beyond this one post. Secondary coverage was a snippet only. The audited task set and its size are not stated in the passages read: dividing 200 by 27.4% gives roughly 730, but that is arithmetic on rounded percentages and says nothing about which set was audited, so it is not used. The 286 are the flagged subset, not the sample size.

Related work

Watch next

  • A dataset revision or response from the benchmark's maintainers.

Sources

  1. Separating signal from noise in coding evaluations (OpenAI)openai.com

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 18 September 2026 at 03:42 IST. Sources are the papers and datasets the note draws on.

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