Benchmarks
Benchmarks
SWE-Marathon
Codingunit % · normalized over [0, 60]SWE-Marathon v1.1 (Abundant AI) — 20 realistic multi-hour software-engineering projects (library reproductions, full-stack clones, ML engineering) graded by executing project tests. Binary reward per task, pass@1 averaged over k=8 trials. Each row uses the agent harness the leaderboard lists for it: usually the lab's own product (Claude Code, Codex, Grok Build, Muse Code), but third-party harnesses for other labs (Kimi and GLM in Claude Code, Gemini 3.7 Flash in OpenCode, DeepSeek V4 Pro in Mini-SWE-Agent), so rows compare model+harness pairs.
#ModelSourceScoreNormalized
Score distribution
21 tracked results across the normalization window
060
Score vs. parameters
Open-weights models, log-x params