HLE-Diamond
Models answer 1,000 cleaned expert questions from Humanity's Last Exam, 500 on reasoning and 500 on knowledge, closed book. Graded on exact answers.
The makers built it after a year of cleaning as a migration path for when the original set hits its noise ceiling.
- Made by
- Center for AI Safety and Scale AI
- Released
- September 2026
- Kind
- Expert-written questions
- Level
- Research frontier
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
- Claude Fable 5.2 #1 on the capability index
- Last in a launch post
- November 2026
- Last model added
- November 2026
- Scores refreshed
- November 12th, 2026
Known issues
A published audit found a problem in HLE-Diamond. We summarize each finding in our words and link its source. The scores on this page don't include any fixes. See all audits
- Leaked answers Reward hacking Still open
Prime Intellect reports that HLE-Diamond answers leak through mirrors and public rollout logs, so domain blocklists do not stop agents from finding them. In one trace, DeepSeek V4.1-Flash 1017 read a graded answer through OpenReward's public API and submitted it.
DeepSeek V4.1-Flash 1017 dropped its own answer (0.070) and submitted the leaked answer 0.011 with 98% confidence.
It went through OpenReward’s public rollout API, found another model’s trajectory on the same question, and read the grader’s verdict: Correct Answer: 0.011.
Learnings from Auditing Public Evaluations by Prime Intellect, November 3rd, 2026
Claude Fable 5.2 leads with 77.9%
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
Claude Fable 5.2 leads with 77.9%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 77.9 Claude Fable 5.2
- 65.8 GPT-6 Astra
- 63.6
Gemini 4 Carbon
- 61.3 GPT-6.1 Sol
- 60.9 Claude Opus 5.5
- 56.9
Gemini 4 Argon
- 55.1 Claude Fable 5.1
- 43.3 Claude Sonnet 5.5
- 43.2 GPT-6 Sol
- 41.0 GPT-5.6 Sol
- 40.6
Muse Wonder
- 40.5 Claude Opus 5
- 38.7 Kimi K3.1 Pro
- 34.6
Muse Spark 1.3
- 33.3
Gemini 3.8 Flash
- 28.3 Kimi K3
- 28.2
Muse Spark Open
- 25.1 GLM-5.3
- 25.0 Grok 4.7
- 16.6
DeepSeek-V4-Pro
- 1 Claude Fable 5.2 max 77.9%
- 2 GPT-6 Astra max 65.8%
- 3
Gemini 4 Carbon high 63.6%
- 4 GPT-6.1 Sol max 61.3%
- 5 Claude Opus 5.5 max 60.9%
- 6
Gemini 4 Argon high 56.9%
- 7 Claude Fable 5.1 max 55.1%
- 8 Claude Sonnet 5.5 max 43.3%
- 9 GPT-6 Sol max 43.2%
- 10 GPT-5.6 Sol max 41%
- 11
Muse Wonder max 40.6%
- 12 Claude Opus 5 max 40.5%
- 13 Kimi K3.1 Pro max 38.7%
- 14
Muse Spark 1.3 max 34.6%
- 15
Gemini 3.8 Flash high 33.3%
- 16 Kimi K3 max 28.3%
- 17
Muse Spark Open max 28.2%
- 18 GLM-5.3 max 25.1%
- 19 Grok 4.7 max 25%
- 20
DeepSeek-V4-Pro max 16.6%
Source: Official HLE-Diamond leaderboard
- 77.9 Claude Fable 5.2
- 65.8 GPT-6 Astra
- 63.6
Gemini 4 Carbon
- 61.3 GPT-6.1 Sol
- 60.9 Claude Opus 5.5
- 56.9
Gemini 4 Argon
- 55.1 Claude Fable 5.1
- 43.3 Claude Sonnet 5.5
- 43.2 GPT-6 Sol
- 41.0 GPT-5.6 Sol
- 40.6
Muse Wonder
- 40.5 Claude Opus 5
- 38.7 Kimi K3.1 Pro
- 34.6
Muse Spark 1.3
- 33.3
Gemini 3.8 Flash
- 28.7
Inkling 2 Small
- 28.3 Kimi K3
- 28.2
Muse Spark Open
- 25.1 GLM-5.3
- 25.0 Grok 4.7
- 16.6
DeepSeek-V4-Pro
- 1 Claude Fable 5.2 max 77.9%
- 2 GPT-6 Astra max 65.8%
- 3
Gemini 4 Carbon high 63.6%
- 4 GPT-6.1 Sol max 61.3%
- 5 Claude Opus 5.5 max 60.9%
- 6
Gemini 4 Argon high 56.9%
- 7 Claude Fable 5.1 max 55.1%
- 8 Claude Sonnet 5.5 max 43.3%
- 9 GPT-6 Sol max 43.2%
- 10 GPT-5.6 Sol max 41%
- 11
Muse Wonder max 40.6%
- 12 Claude Opus 5 max 40.5%
- 13 Kimi K3.1 Pro max 38.7%
- 14
Muse Spark 1.3 max 34.6%
- 15
Gemini 3.8 Flash high 33.3%
- 16
Inkling 2 Small 28.7%
- 17 Kimi K3 max 28.3%
- 18
Muse Spark Open max 28.2%
- 19 GLM-5.3 max 25.1%
- 20 Grok 4.7 max 25%
- 21
DeepSeek-V4-Pro max 16.6%
Sources: Official HLE-Diamond leaderboard and labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5.2 | 77.9% | max | Nov 2026 | Official leaderboard |
| 2 | GPT-6 Astra | 65.8% | max | Sep 2026 | Official leaderboard |
| 3 | | 63.6% | high | Oct 2026 | Official leaderboard |
| 4 | GPT-6.1 Sol | 61.3% | max | Sep 2026 | Official leaderboard |
| 5 | Claude Opus 5.5 | 60.9% | max | Sep 2026 | Official leaderboard |
| 6 | | 56.9% | high | Sep 2026 | Official leaderboard |
| 7 | Claude Fable 5.1 | 55.1% | max | Sep 2026 | Official leaderboard |
| 8 | Claude Sonnet 5.5 | 43.3% | max | Sep 2026 | Official leaderboard |
| 9 | GPT-6 Sol | 43.2% | max | Sep 2026 | Official leaderboard |
| 10 | GPT-5.6 Sol | 41% | max | Jul 2026 | Official leaderboard |
| 11 | | 40.6% | max | Oct 2026 | Official leaderboard |
| 12 | Claude Opus 5 | 40.5% | max | Jul 2026 | Official leaderboard |
| 13 | Kimi K3.1 Pro | 38.7% | max | Oct 2026 | Official leaderboard |
| 14 | | 34.6% | max | Sep 2026 | Official leaderboard |
| 15 | | 33.3% | high | Sep 2026 | Official leaderboard |
| 16 | Kimi K3 | 28.3% | max | Jul 2026 | Official leaderboard |
| 17 | | 28.2% | max | Oct 2026 | Official leaderboard |
| 18 | GLM-5.3 | 25.1% | max | Aug 2026 | Official leaderboard |
| 19 | Grok 4.7 | 25% | max | Sep 2026 | Official leaderboard |
| 20 | | 16.6% | max | Apr 2026 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5.2 | 77.9% | max | Nov 2026 | Official leaderboard |
| 2 | GPT-6 Astra | 65.8% | max | Sep 2026 | Official leaderboard |
| 3 | | 63.6% | high | Oct 2026 | Official leaderboard |
| 4 | GPT-6.1 Sol | 61.3% | max | Sep 2026 | Official leaderboard |
| 5 | Claude Opus 5.5 | 60.9% | max | Sep 2026 | Official leaderboard |
| 6 | | 56.9% | high | Sep 2026 | Official leaderboard |
| 7 | Claude Fable 5.1 | 55.1% | max | Sep 2026 | Official leaderboard |
| 8 | Claude Sonnet 5.5 | 43.3% | max | Sep 2026 | Official leaderboard |
| 9 | GPT-6 Sol | 43.2% | max | Sep 2026 | Official leaderboard |
| 10 | GPT-5.6 Sol | 41% | max | Jul 2026 | Official leaderboard |
| 11 | | 40.6% | max | Oct 2026 | Official leaderboard |
| 12 | Claude Opus 5 | 40.5% | max | Jul 2026 | Official leaderboard |
| 13 | Kimi K3.1 Pro | 38.7% | max | Oct 2026 | Official leaderboard |
| 14 | | 34.6% | max | Sep 2026 | Official leaderboard |
| 15 | | 33.3% | high | Sep 2026 | Official leaderboard |
| 16 | | 28.7% | Nov 2026 | Lab model card | |
| 17 | Kimi K3 | 28.3% | max | Jul 2026 | Official leaderboard |
| 18 | | 28.2% | max | Oct 2026 | Official leaderboard |
| 19 | GLM-5.3 | 25.1% | max | Aug 2026 | Official leaderboard |
| 20 | Grok 4.7 | 25% | max | Sep 2026 | Official leaderboard |
| 21 | | 16.6% | max | Apr 2026 | Official leaderboard |
Labs report scores for 2 models in their cards. Switch the scores above to rank them together.
More effort adds a median 6 points
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
Source: Official HLE-Diamond leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| Claude Fable 5.2 | max | 77.9% | 35,481 | ||
| Claude Fable 5.2 | high | 74.3% | 8,831 | ||
| GPT-6 Astra | max | 65.8% | 11,693 | ||
| | high | 63.6% | 59,164 | ||
| | max | 63.6% | 59,164 | ||
| GPT-6.1 Sol | max | 61.3% | 12,383 | ||
| Claude Opus 5.5 | max | 60.9% | 46,945 | ||
| GPT-6 Astra | high | 59.9% | 5,172 | ||
| | high | 56.9% | 26,087 | ||
| | max | 56.9% | 26,087 | ||
| Claude Fable 5.1 | max | 55.1% | 41,758 | ||
| Claude Opus 5.5 | high | 54.6% | 9,614 | ||
| GPT-6.1 Sol | high | 53.2% | 4,492 | ||
| Claude Fable 5.1 | high | 51.6% | 14,817 | ||
| Claude Sonnet 5.5 | max | 43.3% | 66,770 | ||
| GPT-6 Sol | max | 43.2% | 20,512 | ||
| GPT-5.6 Sol | max | 41% | 20,037 | ||
| | max | 40.6% | 40,112 | ||
| Claude Opus 5 | max | 40.5% | 34,063 | ||
| Kimi K3.1 Pro | max | 38.7% | 37,725 | ||
| Claude Opus 5 | high | 38.1% | 19,656 | ||
| | high | 34.7% | 16,125 | ||
| | max | 34.6% | 32,818 | ||
| | high | 33.3% | 26,074 | ||
| | max | 33.3% | 26,074 | ||
| Claude Sonnet 5.5 | high | 33.1% | 8,584 | ||
| GPT-6 Sol | high | 32.8% | 4,597 | ||
| GPT-5.6 Sol | high | 30.4% | 5,912 | ||
| Kimi K3.1 Pro | high | 29.5% | 9,800 | ||
| Kimi K3 | max | 28.3% | 26,855 | ||
| | max | 28.2% | 22,779 | ||
| GLM-5.3 | max | 25.1% | 47,012 | ||
| Grok 4.7 | max | 25% | 57,366 | ||
| | high | 24.9% | 19,691 | ||
| | high | 24.6% | 21,304 | ||
| Grok 4.7 | high | 22.8% | 43,244 | ||
| GLM-5.3 | high | 22.3% | 44,311 | ||
| Kimi K3 | high | 21.7% | 13,075 | ||
| | max | 16.6% | 35,296 | ||
| | high | 13.4% | 34,683 |
3 models have held number one on the official leaderboard since its release in September 2026 3 models have held number one with claims included since its release in September 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official HLE-Diamond leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official HLE-Diamond leaderboard and labs’ model cards
2 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Nov 5, 2026 | 28.7 | HLE-Diamond | |
| Oct 15, 2026 | 26.1 | HLE-Diamond (no tools) |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 26.1% HLE-Diamond (no tools) | 28.2% Leaderboard, max | −2.1 pts |
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Source: Official leaderboards
More in Knowledge
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Qwen 3.6 Max (Preview) 73.9%
- WideSearch In use 200 bilingual broad info-seeking tasks: agent collects many atomic facts into a table. Scored by success rate and row/item F1.
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- BBEH micro average In use Models solve harder replacements for each of the 23 BIG-Bench Hard tasks, 4,520 examples in total. The score is the share of all examples answered correctly.
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- KMMLU-Pro In use Models answer multiple-choice questions taken from Korean National Professional Licensure exams. It tests professional knowledge used in Korean industry.
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- HLE-Verified In use Verified and revised version of Humanity's Last Exam (1,811 items) with uncertain items removed.
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