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Humanity's Last Exam — static release

Humanity's Last Exam — static release evaluates performance on a deliberately difficult, broad set of expert-level closed-ended academic questions, including multimodal items.

Humanity's Last Exam — static release 2,500-question static release; paper v10

Permanent entry
Task and data
The static HLE release contains 2,500 closed-ended, expert-reviewed text and image questions spanning more than one hundred subjects at the frontier of academic knowledge.
Primary metric
The paper reports answer accuracy and RMS calibration error. The anchors below show accuracy; higher accuracy is better within the fixed static release and judge protocol.
What it measures
performance on a deliberately difficult, broad set of expert-level closed-ended academic questions, including multimodal items.
Comparison rules
These rows bind to the 2,500-question static paper release, not a rolling HLE dataset or later leaderboard. Text-only model rows are not comparable to full multimodal rows.
Access and licensing
The official repository uses an MIT license for repository materials and explicitly asks that benchmark data never enter training corpora. The Compendium links only and reproduces no questions or images.
Selected published third-party results for Humanity's Last Exam — static release 2,500-question static release; paper v10. Draconitic did not run these evaluations.
Published subjectScoreMetricSplit and evaluation settingSource record
gpt-4o-2024-11-20hle-static-2500:full:paper-v10 2.7%higher, percent accuracystatic historical anchor 2,500-question static releaseStandardized zero-shot reasoning/final-answer prompt; temperature 0; o3-mini answer-equivalence judge.The static-release score should not be relabeled as a current HLE leaderboard result. HLE organizing teamPublished 2026-02-20, reviewed 2026-07-13original-paper, published-third-party
claude-3-5-sonnet-20241022hle-static-2500:full:paper-v10 4.1%higher, percent accuracystatic historical anchor 2,500-question static releaseStandardized zero-shot reasoning/final-answer prompt; temperature 0; o3-mini answer-equivalence judge.Small near-floor differences are not strong evidence of broad capability gains, as the paper cautions. HLE organizing teamPublished 2026-02-20, reviewed 2026-07-13original-paper, published-third-party
o1-2024-12-17hle-static-2500:full:paper-v10 8.0%higher, percent accuracystatic historical anchor 2,500-question static releaseStandardized zero-shot reasoning/final-answer prompt; model-supported temperature 1.0; o3-mini answer-equivalence judge.Different reasoning budgets and model-specific temperature constraints matter to comparison. HLE organizing teamPublished 2026-02-20, reviewed 2026-07-13original-paper, published-third-party
o3-mini-2025-01-31 (high)hle-static-2500:text-only:paper-v10 13.4%higher, percent accuracystatic subset anchor text-only subset of the static releaseStandardized zero-shot reasoning/final-answer prompt; model-supported temperature 1.0; o3-mini answer-equivalence judge.The paper marks this model as text-only, so its subset result is not directly comparable to full multimodal rows. HLE organizing teamPublished 2026-02-20, reviewed 2026-07-13original-paper, published-third-party

Claims and evidence

Claim ledger, 2