AI ranking: Humanity's Last Exam (HLE), live
How good are the best AI models on extremely hard expert questions? The chart and leaderboard come live from the benchmark authors' dashboard (Center for AI Safety and Scale AI) and are refreshed hourly.
LiveLast updated: · Data: Center for AI Safety / Scale AI (dashboard.safe.ai, agi.safe.ai)
AI progress on HLE
Each dot is a model (release date against accuracy). The line follows the frontier: the best standard model so far.
● Standard · ○ Mini / Nano
Leaderboard (HLE accuracy)
| # | Model | Provider | HLE | Released | Size |
|---|---|---|---|---|---|
| 1 | Fable 5.1 | Anthropic | 54.6 % | Standard | |
| 2 | GPT-6 Astra | OpenAI | 53.6 % | Standard | |
| 3 | Fable 5 | Anthropic | 52.7 % | Standard | |
| 4 | Opus 5 | Anthropic | 51.0 % | Standard | |
| 5 | Muse Spark 1.1 | Meta (Muse) | 49.4 % | Standard | |
| 6 | Gemini 3.8 Flash | 46.2 % | Mini | ||
| 7 | Gemini 3.1 Pro | 45.9 % | Standard | ||
| 8 | Gemini 3.7 Flash | 45.6 % | Mini | ||
| 9 | GPT-5.6 Sol | OpenAI | 45.5 % | Standard | |
| 10 | GPT-5.5 | OpenAI | 43.8 % | Standard | |
| 11 | Muse Spark 1.3 | Meta (Muse) | 43.2 % | Standard | |
| 12 | Gemini 3.5 Flash | 42.5 % | Mini | ||
| 13 | Opus 4.8 | Anthropic | 42.2 % | Standard | |
| 14 | GLM 5.2 | Z.ai (Zhipu) | 41.4 % | Standard | |
| 15 | Kimi K3 | Moonshot | 41.1 % | Standard | |
| 16 | GPT-5.4 | OpenAI | 40.3 % | Standard | |
| 17 | Grok 4.6 | xAI | 39.7 % | Standard | |
| 18 | Grok 4.5 | xAI | 39.3 % | Standard | |
| 19 | GLM 5.3 | Z.ai (Zhipu) | 39.1 % | Standard | |
| 20 | Opus 4.7 | Anthropic | 39.0 % | Standard | |
| 21 | Gemini 3 Pro | 38.3 % | Standard | ||
| 22 | Gemini 3 Flash | 36.6 % | Mini | ||
| 23 | GPT-5.6 Terra | OpenAI | 35.9 % | Mini | |
| 24 | Kimi K2.6 | Moonshot | 35.5 % | Standard | |
| 25 | Opus 4.6 | Anthropic | 34.2 % | Standard | |
| 26 | Grok 4.3 | xAI | 33.1 % | Standard | |
| 27 | DeepSeek 4 Pro | DeepSeek | 32.4 % | Standard | |
| 28 | GPT-5.6 Luna | OpenAI | 31.8 % | Mini | |
| 29 | Grok 4.2 | xAI | 30.2 % | Standard | |
| 30 | GPT-5.2 | OpenAI | 29.9 % | Standard |
More benchmarks
The same source provides more tests. Not every model was run on every test.
ARC-AGI-2
- 1.GPT-5.577.5 %
- 2.Gemini 3.1 Pro73.3 %
- 3.Opus 4.867.5 %
- 4.GPT-5.465.0 %
- 5.Gemini 3.5 Flash63.3 %
- 6.Grok 4.255.0 %
- 7.Opus 4.750.8 %
- 8.Opus 4.644.3 %
SWE-bench Pro
- 1.Fable 577.4 %
- 2.Opus 4.865.4 %
- 3.Opus 4.760.9 %
- 4.Grok 4.560.3 %
- 5.GPT-5.6 Sol57.9 %
- 6.Opus 4.656.7 %
- 7.Muse Spark 1.154.3 %
- 8.Gemini 3.5 Flash53.9 %
HLE Diamond
- 1.GPT-6 Astra59.9 %
- 2.Fable 5.150.7 %
- 3.Fable 545.6 %
- 4.Opus 538.1 %
- 5.Gemini 3.8 Flash33.3 %
- 6.Gemini 3.1 Pro31.8 %
- 7.Muse Spark 1.131.3 %
- 8.Gemini 3.7 Flash31.2 %
What is Humanity's Last Exam?
HLE is a benchmark of 2,500 very hard expert questions, built by the Center for AI Safety and Scale AI with subject experts worldwide. It measures how close AI models are to human expert knowledge now that older tests like MMLU are saturated.
How do I read the values?
The number is the share of questions answered correctly. Results differ by method: with or without tools, with or without images. This page shows the dashboard's values unchanged; vendor-reported numbers may differ.
FAQ about the HLE ranking
What is Humanity's Last Exam (HLE)?
HLE is a benchmark of 2,500 very hard expert questions, built by the Center for AI Safety and Scale AI with subject experts worldwide. It shows how close AI models come to human expert knowledge.
Which AI model currently leads the HLE ranking?
According to the benchmark authors' dashboard, Fable 5.1 by Anthropic currently leads with 54.6% (data as of 12 October 2026). 4 models are above 50%.
Why do HLE scores differ between sources?
The method differs: with or without tools (web search, code), with or without image questions, different grading models. This page shows the dashboard's values unchanged; vendor-reported numbers can be higher.
How often is the ranking updated?
The ranking is loaded live from the dashboard every hour. If the source is down, the page shows the last stored copy and labels it.