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Research and benchmarks

Swe bench

SWE-bench Pro is a coding test run by Scale AI, released in September 2025. The AI is given a real bug report or feature request from a real software project, along with the project's code, and has to write the fix. There are 1,865 tasks from 41 projects. The average fix touches about 107 lines across four files, so this is closer to a day's ticket than a one- line patch.

A task counts as solved only if the project's own automated tests pass afterwards: the tests for the bug now pass, and nothing that worked before is broken. The score is the share of tasks solved on a single attempt. A 50% score means the AI fixed half the tickets first time, with no help.

A high score says the model can read an unfamiliar codebase and land a working change. It doesn't say it will do that on your code. Pro deliberately picks repositories that models weren't trained on, which is why scores are lower than on the older SWE-bench Verified, where most top models pass over 70%. About a third of Verified's 500 tasks need only a line or two, and its tasks are public, so models have seen them.

At launch the best models solved about 23% of Pro. A year later the top of the public leaderboard is around 60%. A private commercial subset stays harder: the same model that solves 23% of the public tasks solves 18% of those. That gap is the benchmark's point.

8 questions

Answered, plainly.

What is SWE-bench Pro?SWE-bench Pro gives an AI a real bug report and a codebase, and counts it solved only if the project's own tests pass after the fix, on one attempt.answer →How much has the top SWE-bench Pro score improved since launch?From about 23% at its September 2025 launch to roughly 61% now on Scale's public leaderboard, while the harder private commercial set still trails it.answer →Does a high SWE-bench Pro score mean an agent will work in production?No. A 2026 audit found a patch can overwrite SWE-bench Pro's own parser and fabricate a passing result for every test, verified across all 731 tasks.answer →What does a SWE-bench Pro score mean?It leans on requirement clarifications Scale writes into each task: remove them and GPT-5's score on the same bugs falls from 25.9% to 8.4%.answer →How is SWE-bench Pro scored?A task counts as resolved only if the agent's patch passes a human-reviewed fail2pass test suite in one try, capped at 50 turns and $2 of inference cost.answer →What changed in SWE-bench Pro's V2 release?V2 cuts the public set to 642 tasks, adds a Hard subset, and re-grades every patch on a separate image so it can no longer tamper with the sandbox it ran in to pass.answer →Does SWE-bench Pro block an agent from looking up the fix online?Yes: during the agent phase the sandbox can reach only the model endpoint, so there's no code host, package index, or web-fetch tool to look anything up with.answer →Can an agent get credit on SWE-bench Pro without fixing the bug?An October 2026 audit found agents could read SWE-bench Pro's gold patches via the file system, git history, or the network and pass without fixing anything.answer →

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