SWE-bench Verified, live, four arms: 13% cheaper than no compaction, and the highest reward. See the numbers

Full results — baseline (off) (SWE-bench Verified, 50 tasks)

Live through the harness, claude-code agent on aws/claude-sonnet-5. Cache-aware billed input cost (fresh $2/M · cache-read $0.20/M · cache-write $2.50/M) + output $10/M, recomputed from each trial's token tiers. See REPRODUCE.md.

Totals

tasks scored solved rate total billed cost mean steps cache-hit agent wall (sum)
50 43 86% $31.98 36.1 98.1% 317 min

Per-task

task reward steps cache_read cache_write billed cost
astropy__astropy-12907 1 28 1,486,182 39,072 $0.443
astropy__astropy-14365 1 26 1,331,718 30,002 $0.428
astropy__astropy-8707 0 26 1,287,520 30,970 $0.391
django__django-11095 1 31 1,446,457 28,197 $0.422
django__django-11211 1 57 3,336,980 75,407 $0.999
django__django-11477 1 56 3,023,951 38,688 $0.881
django__django-11790 1 25 1,131,935 24,533 $0.337
django__django-12050 1 7 241,379 13,657 $0.090
django__django-12308 1 25 1,169,638 22,221 $0.347
django__django-12858 0 42 2,212,083 39,423 $0.789
django__django-13128 1 123 10,152,118 212,282 $2.985
django__django-13363 1 45 2,586,634 45,535 $0.759
django__django-13568 1 32 1,522,384 26,424 $0.438
django__django-13810 1 31 1,783,070 44,681 $0.780
django__django-14034 1 84 5,832,079 59,733 $1.794
django__django-14349 1 14 593,392 22,577 $0.216
django__django-14559 1 25 1,164,866 29,554 $0.352
django__django-14792 0 69 4,396,102 52,915 $1.184
django__django-15128 1 59 3,602,051 45,027 $0.988
django__django-15380 1 21 966,153 24,392 $0.295
django__django-15572 1 10 385,788 17,396 $0.139
django__django-15930 1 34 1,716,231 29,791 $0.533
django__django-16145 1 13 516,372 16,664 $0.165
django__django-16502 0 42 2,120,703 32,030 $0.645
django__django-16667 0 22 971,978 22,685 $0.285
django__django-17087 1 11 420,513 14,777 $0.144
matplotlib__matplotlib-22719 1 27 1,315,560 27,939 $0.395
matplotlib__matplotlib-24570 1 20 892,408 25,106 $0.322
matplotlib__matplotlib-25775 1 108 8,921,304 79,696 $2.271
psf__requests-1142 1 13 521,493 19,474 $0.181
pydata__xarray-3151 1 22 1,004,803 24,540 $0.318
pydata__xarray-4966 1 30 1,472,856 28,726 $0.453
pylint-dev__pylint-4551 1 72 5,482,438 75,674 $1.682
pytest-dev__pytest-10051 1 23 1,003,515 19,024 $0.289
pytest-dev__pytest-7205 1 49 2,650,728 36,370 $0.717
scikit-learn__scikit-learn-10844 1 15 620,269 17,574 $0.193
scikit-learn__scikit-learn-13328 1 17 722,414 20,964 $0.226
scikit-learn__scikit-learn-14894 1 21 915,577 20,958 $0.289
scikit-learn__scikit-learn-9288 1 13 547,195 20,357 $0.197
sphinx-doc__sphinx-7454 1 22 1,028,492 25,064 $0.314
sphinx-doc__sphinx-8120 1 32 1,588,891 28,644 $0.464
sphinx-doc__sphinx-8638 1 71 3,217,605 82,483 $1.141
sphinx-doc__sphinx-9602 1 32 1,738,898 36,151 $0.526
sympy__sympy-13031 1 67 3,977,995 45,516 $1.234
sympy__sympy-13877 1 12 497,367 20,055 $0.174
sympy__sympy-15599 1 37 1,773,674 30,519 $0.598
sympy__sympy-17318 1 50 2,656,656 33,634 $0.776
sympy__sympy-19495 0 39 2,119,352 38,337 $0.938
sympy__sympy-21379 1 24 1,152,459 25,642 $0.384
sympy__sympy-23413 0 31 1,614,387 33,585 $1.073