Humanity's Last Exam leaderboard
23 models have a published score. Claude Opus 5.5 (Anthropic) leads with 64.4, and the spread to the lowest score, Gemma 4 26B A4B at 8.7, is 55.7 points. The best open-weight result, Kimi K3.1 Pro at 51.1, trails the best closed model, Claude Opus 5.5, by 13.3. The highest-scoring model you can deploy on OpenLLM Buddy is Kimi K3, ranked 11 of 23 with 43.5. Sources report different settings for this test, such as test year, version, or reasoning effort. Each setting is listed in the source table, so compare close scores with care.
Humanity's Last Exam scores
Exact-match accuracy. Scores are low across the board, so small gaps between models matter.
- OpenLLM Buddy catalog
- Open weights
- Closed API
- 1Claude Opus 5.5Humanity's Last Exam, no tools; max effort64.4
- 2Claude Fable 5.1Humanity's Last Exam, no tools; max effort60.9
- 3Gemini 4 ArgonHumanity's Last Exam, no tools; AA independent run (High)57.1
- 4Claude Sonnet 5.5Humanity's Last Exam, no tools; max effort56.9
- 5GPT-6 AstraHumanity's Last Exam, no tools; AA independent run (Max)54.7
- 6GPT-6.1 SolHumanity's Last Exam, no tools; AA independent run (Max)52.9
- 7Kimi K3.1 ProHLE-Full (2,500 q), no tools, max effort (vendor-reported)51.1
- 8Gemini 3.8 FlashHumanity's Last Exam, no tools; AA independent run (High)47.8
- 9Step 5 Previewno tools, High effort (vendor-reported)46.5
- 10Claude Haiku 5.5Humanity's Last Exam, no tools; max effort45.9
- 11Kimi K3HLE-Full, no tools, max effort43.5
- 12MiniMax M3.1 Flashno tools, text-only subset (2,158 q)43.4
- 13Grok 4.7Humanity's Last Exam, no tools; AA independent run (Xhigh)43.1
- 14DeepSeek V4 ProV4-Pro-0813, no tools42.7
- 15GLM 5.3no tools, text-only subset (2,158 q); competitor comparison column42.3
- 16DeepSeek V4.1 FlashPass@1, no tools, max effort (text-only subset: 39.1)36.8
- 17Reflection Beam 1.0no tools, BF1636.0
- 18Qwen3.8 27BAlibaba Qwen30.8
- 19Nemotron 3 Ultrano tools26.7
- 20Qwen3.6 27BAlibaba Qwen24.0
- 21Gemma 4 31Bno tools19.5
- 22gpt-oss-120bhigh effort, no tools14.9
- 23Gemma 4 26B A4Bno tools8.7
What it measures
About 2,500 questions across mathematics, the sciences, and the humanities, contributed by subject experts and filtered so that leading models of the time failed them. Some questions include images.
How it is scored
Exact-match accuracy. Scores are low across the board, so small gaps between models matter.
Why it matters
Most older benchmarks are saturated; HLE still separates frontier models from each other.
Official benchmark pageMore reasoning tests
Sources
Scores are published results from model cards, lab reports, and public leaderboards, each linked to its source. Settings such as thinking mode or test version differ between sources and are shown next to each score. OpenLLM Buddy catalog models are uncensored fine-tunes; their scores are those of the official base model. Data collected 2026-10-30. How the index works