Benchmark Almanac

HLE-Diamond

GPT-6 Astra 65.8% leads since Sep 2026 In use

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. GPT-6 Astra led at 59.9 percent without tools.

Made by Center for AI Safety and Scale AI Released Sep 2026 Expert-written questions All tasks public Last in a launch post Oct 2026 Last model added Oct 2026 Scores refreshed 2 Nov 2026
Level
Research frontier Researchers, on open problems or tasks that take days
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Short answer A number, word or short string matched to a key.
18
Models scored on its own leaderboard
1
Launch post lists it, from 1 lab

GPT-6 Astra leads with 65.8%

Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.

  1. 1 GPT-6 Astra max 65.8%
  2. 2 GPT-6.1 Sol max 61.3%
  3. 3 Claude Opus 5.5 max 60.9%
  4. 4 Gemini 4 Argon high 56.9%
  5. 5 Claude Fable 5.1 max 55.1%
  6. 6 Claude Sonnet 5.5 max 43.3%
  7. 7 GPT-6 Sol max 43.2%
  8. 8 GPT-5.6 Sol max 41%
  9. 9 Muse Wonder max 40.6%
  10. 10 Claude Opus 5 max 40.5%
  11. 11 Kimi K3.1 Pro max 38.7%
  12. 12 Muse Spark 1.3 max 34.6%
  13. 13 Gemini 3.8 Flash high 33.3%
  14. 14 Kimi K3 max 28.3%
  15. 15 Muse Spark Open max 28.2%
  16. 16 GLM-5.3 max 25.1%
  17. 17 Grok 4.7 max 25%
  18. 18 DeepSeek-V4-Pro max 16.6%
#ModelScoreSettingDateSource
1 GPT-6 Astra 65.8% max Sep 2026 Official leaderboard
2 GPT-6.1 Sol 61.3% max Sep 2026 Official leaderboard
3 Claude Opus 5.5 60.9% max Sep 2026 Official leaderboard
4 Gemini 4 Argon 56.9% high Sep 2026 Official leaderboard
5 Claude Fable 5.1 55.1% max Sep 2026 Official leaderboard
6 Claude Sonnet 5.5 43.3% max Sep 2026 Official leaderboard
7 GPT-6 Sol 43.2% max Sep 2026 Official leaderboard
8 GPT-5.6 Sol 41% max Jul 2026 Official leaderboard
9 Muse Wonder 40.6% max Oct 2026 Official leaderboard
10 Claude Opus 5 40.5% max Jul 2026 Official leaderboard
11 Kimi K3.1 Pro 38.7% max Oct 2026 Official leaderboard
12 Muse Spark 1.3 34.6% max Sep 2026 Official leaderboard
13 Gemini 3.8 Flash 33.3% high Sep 2026 Official leaderboard
14 Kimi K3 28.3% max Jul 2026 Official leaderboard
15 Muse Spark Open 28.2% max Oct 2026 Official leaderboard
16 GLM-5.3 25.1% max Aug 2026 Official leaderboard
17 Grok 4.7 25% max Sep 2026 Official leaderboard
18 DeepSeek-V4-Pro 16.6% max Apr 2026 Official leaderboard

Labs report scores for 1 model in their cards. We plot every source in the charts below.

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.

Lowest effort to highest, light to dark
GPT-6 Astra
high max
65.8%
GPT-6.1 Sol
high max
61.3%
Claude Opus 5.5
high max
60.9%
Gemini 4 Argon
high
56.9%
Claude Fable 5.1
high max
55.1%
Claude Sonnet 5.5
high max
43.3%
GPT-6 Sol
high max
43.2%
GPT-5.6 Sol
high max
41%
Muse Wonder
high max
40.6%
Claude Opus 5
high
40.5%
Kimi K3.1 Pro
high max
38.7%
Muse Spark 1.3
high max
34.6%
ModelEffortHarnessScoreCost per taskOutput tokens
GPT-6 Astra max 65.8%
GPT-6.1 Sol max 61.3%
Claude Opus 5.5 max 60.9%
GPT-6 Astra high 59.9%
Gemini 4 Argon high 56.9%
Gemini 4 Argon max 56.9%
Claude Fable 5.1 max 55.1%
Claude Opus 5.5 high 54.6%
GPT-6.1 Sol high 53.2%
Claude Fable 5.1 high 51.6%
Claude Sonnet 5.5 max 43.3%
GPT-6 Sol max 43.2%
GPT-5.6 Sol max 41%
Muse Wonder max 40.6%
Claude Opus 5 max 40.5%
Kimi K3.1 Pro max 38.7%
Claude Opus 5 high 38.1%
Muse Wonder high 34.7%
Muse Spark 1.3 max 34.6%
Gemini 3.8 Flash high 33.3%
Gemini 3.8 Flash max 33.3%
Claude Sonnet 5.5 high 33.1%
GPT-6 Sol high 32.8%
GPT-5.6 Sol high 30.4%
Kimi K3.1 Pro high 29.5%
Kimi K3 max 28.3%
Muse Spark Open max 28.2%
GLM-5.3 max 25.1%
Grok 4.7 max 25%
Muse Spark Open high 24.9%
Muse Spark 1.3 high 24.6%
Grok 4.7 high 22.8%
GLM-5.3 high 22.3%
Kimi K3 high 21.7%
DeepSeek-V4-Pro max 16.6%
DeepSeek-V4-Pro high 13.4%

2 models have held number one since its release in Sep 2026

Lab claims count from the day the card came out, independent runs from the model’s release.

Anthropic OpenAI
Own leaderboard 2 leaders
GPT-6 Astra 65.8%

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) GPT-6 Astra Claude Fable 5.1 GPT-5.6 Sol DeepSeek-V4-Pro 0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) GPT-6 Astra Claude Fable 5.1

One lab 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.

Meta
DateLaunch postScoreAs the post writes it
15 Oct 2026 Muse Spark Open 26.1 HLE-Diamond (no tools)

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.

OpenAI xAI Moonshot AI Google DeepMind Anthropic ByteDance Seed
HLE-Diamond 16 leaders
GPT-6 Astra 65.8%
HLE-Diamond 2 leaders
GPT-6 Astra 65.8%

More in Knowledge

All 109 in Knowledge
  • MMLU-Pro In use Harder 10-option version of MMLU with reasoning-focused questions across 14 subjects. Intern-S2-397B 89.8%
  • SuperGPQA In use 26,529 graduate-level multiple-choice questions across 285 disciplines. Accuracy. 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. Tencent Hy4 preview 83.9%
  • KMMLU-Pro In use Models answer multiple-choice questions taken from Korean National Professional Licensure exams. It tests professional knowledge used in Korean industry. Solar Pro 4 79.2%
  • BIG-Bench Extra Hard In use Models solve harder replacements for each of the 23 BIG-Bench Hard tasks, 4,520 examples in total. The score is a harmonic mean of task accuracies. Gemma 4 31B IT 74.4%
  • HLE-Verified In use Verified and revised version of Humanity's Last Exam (1,811 items) with uncertain items removed. Seed2.0 Pro 73.6%