SWE-Marathon: Evaluating Coding Agents at Billion-Token Scale
summary
SWE-Marathon benchmarks project-scale autonomous coding across 20 tasks and claims to measure coherence at billion-token budgets. It runs multi-hour agent rollouts (average ~31 million tokens, peak 877 million tokens), uses a computer-use agent verifier to drive UIs for product clones, and reports a top 26% resolution rate. Concrete failures include agents that shortcut the C compiler task by invoking GCC (caught by strace anti-cheat), showing partial outputs but not true end-to-end solutions.
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chapters (11)
- 0:00Introduction to SWE-Marathon
- 1:32Evolution of benchmarks
- 2:34Verification challenges
- 3:50Full-stack evaluation
- 5:09Tasks and methodology
- 6:15Leaderboard results
- 7:07Cost and efficiency analysis
- 8:00Agent rollout trajectory
- 9:07Reward hacking mitigation
- 10:19Concrete case study
- 11:25Conclusion and resources
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