HarnessOpt-Bench - OfficeQA: leaderboard

Metric: Normalized gain ((held-out score minus seed score) / (1 minus seed score); negative when the nominated harness is worse than the seed; mean over the contestant's optimization rounds, each held-out case scored three times; OfficeQA Pro document question answering with a deepseek-v4-flash target agent; seed held-out score 0.341, 99 test cases; the optimizer edits the seed harness under fixed development and validation evaluation budgets and never sees the test partition). Source: arxiv.org. Saturation forecast: Around December 2026. 10 models tracked.

Top models

#ModelScore
1Claude Opus 50.63
2Claude Sonnet 50.51
3Kimi K30.41
4GPT-5.6 Sol0.29
5GPT-5.6 Terra0.14

Interactive version: theaggregate.ai/benchmark?slug=harnessopt-bench-officeqa · How It Works · Data refreshed daily, snapshot 2026-09-29.