HLE With Tools: Humanity's Last Exam — With Tools
Humanity's Last Exam expert-level benchmark measured with tool access. Kept separate from no-tools and GPT-5.5 Pro-compute variants.
Models ranked
7
tracked on this benchmark
Score band
63.9 – 45.1
best → lowest tracked
Snapshot trend
+18.80
Jul 3 → Sep 10 · 1 models
Leaderboard
Tracked models ranked by Accuracy (higher is better).
Notes: Official Anthropic launch benchmark.
Notes: Model variant: Kimi K3 (max reasoning effort). Benchmark variant: HLE-Full with tools. Harness/evaluator not disclosed by Moonshot. Source posture: Moonshot/Kimi self-reported launch table; confidence: medium because the value is vendor-reported and not independently reproduced. Recommended seed value: 56.
Notes: Standard with-tools variant kept separate from GPT-5.5 Pro-compute HLE.
Notes: Official Intern Science model card reports Agents-A1 at 47.6 on Humanity's Last Exam with tools. Evaluator/source: Intern Science self-reported model-card/project benchmark table. Public harness details are not fully reproducible from the seed row. Confidence: medium for reported value, low-medium for reproducibility. Recommended seed value: 47.6.
How to read this benchmark
This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
Related benchmarks
Last reviewed: Jun 17, 2026