[KongchangAI]
Benchmark

Harbor-Index

A high-quality metadata collection provided by the Harbor framework, containing 82 carefully selected high-difficulty evaluation tasks spanning 29 benchmarks. Items are filtered for difficulty and reviewed through both AI and human verification, forming a high-discriminability evaluation set for measuring comprehensive AI agent capabilities.

Timeline (last 90 days)

Sep 11

The strongest configuration, GPT-5.5 paired with Codex, achieved a pass rate of only 28.0% on Harbor-Index

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Sep 11

Harbor-Index is a curated set of 82 high-difficulty tasks spanning 29 benchmarks

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Sep 11

The construction of Harbor-Index went through multiple rounds of filtering, including difficulty filtering, dual AI and human review, and review-fix iteration cycles

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Sep 11

All evaluated model-harness configurations achieved pass rates of no more than 30% on Harbor-Index

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Sep 11

The research team released all adapters, evaluation results, in-depth analysis reports, and Harbor-Index as open-source resources

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Sep 11

Harbor-Index significantly reduces operational costs while maintaining evaluation breadth and challenge

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