AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

SWE-bench Science

Repository-level scientific software engineering benchmark from the OpenMOSS team (Fudan): 119 tasks across 98 GitHub repositories in 20 scientific domains, organized into Issue-driven, Expert-exploratory, and Engineering-integration paradigms. Best reported pass@1 is below 50% (Claude Code with Opus-5 max), and the paper identifies four recurring failure mechanisms, so scores are highly sensitive to scientific-domain knowledge and tool access, not only to coding ability.

Evaluation context and evidence

Source
Model reports
Publisher
Not recorded
Benchmark release
2026-08-20
Collected
Not recorded
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.