GPQA Diamond (AA)
Artificial Analysis' own GPQA Diamond run. Shown for reference; Epoch's run is in the index.
As of 26 Oct 2026, GPT-6 Astra leads GPQA Diamond (AA) on BenchLeader with 96.3%, ahead of GPT-6 Astra at 96.1%, across 559 model configurations with a published result.
- Published by
- Artificial Analysis
- Category
- Reasoning
- Index weight
- Reference only
- Models
- 559
- Data as of
- 26 Oct 2026
- Newest result
- 15 Oct 2026
Source: Artificial Analysis (artificialanalysis.ai). Data taken from the public leaderboard.
What the test looks like
GPQA Diamond is a set of 198 multiple-choice questions in biology, physics and chemistry written by PhD-level domain experts. The questions are designed to be "Google-proof": a skilled non-expert with unlimited web access still answers only about a third correctly, while experts in the field score around two-thirds. The Diamond subset keeps only the questions that experts answered correctly and non-experts got wrong.
How it is scored
Accuracy on the 198 questions.
What to keep in mind
Artificial Analysis' own run of GPQA Diamond in its fixed harness. Shown for reference; Epoch AI's run is the one counted in the index. Differences between the two runs show how much prompting and sampling matter. See also the GPQA Diamond board.
- 1GPT-6 Astra (xhigh)96.3%
- 2GPT-6 Astra (max)96.1%
- 3Gemini 3.8 Flash (high)95.3%
- 4GPT-6 Astra (high)95.0%
- 5Grok 4.6 (high)95.0%
- 6Gemini 3.7 Flash (high)94.5%
- 7GPT-5.6 Sol (max)94.1%
- 8Muse Spark 1.3 (xhigh)94.1%
- 9Gemini 3.1 Pro94.1%
- 10GPT-6 Astra (medium)93.9%
- 11Claude Fable 5.1 (max)93.7%
- 12Claude Opus 5 (high)93.7%
- 13Claude Opus 5 (xhigh)93.7%
- 14Muse Spark 1.3 (max)93.5%
- 15GPT-5.5 (xhigh)93.5%
| # | ||||
|---|---|---|---|---|
| 1 | 96.3% | 68.9 | 2026-09-03 | |
| 2 | 96.1% | 70.4 | 2026-09-03 | |
| 3 | 95.3% | 64.4 | 2026-09-02 | |
| 4 | 95.0% | 69.6 | 2026-09-03 | |
| 5 | 95.0% | 62.9 | 2026-08-12 | |
| 6 | 94.5% | 63.5 | 2026-08-13 | |
| 7 | 94.1% | 68.0 | 2026-07-09 | |
| 8 | 94.1% | 64.9 | 2026-09-02 | |
| 9 | 94.1% | 61.8 | 2026-02-19 | |
| 10 | 93.9% | 67.5 | 2026-09-03 | |
| 11 | 93.7% | 70.5 | 2026-09-01 | |
| 12 | 93.7% | 67.9 | 2026-07-24 | |
| 13 | 93.7% | 67.4 | 2026-07-24 | |
| 14 | 93.5% | 67.1 | 2026-09-02 | |
| 15 | 93.5% | 66.1 | 2026-04-23 | |
| 16 | 93.5% | 64.8 | 2026-07-16 | |
| 17 | 93.5% | 64.4 | 2026-09-02 | |
| 18 | 93.5% | 64.2 | 2026-08-12 | |
| 19 | 93.5% | 62.5 | 2026-08-12 | |
| 20 | 93.5% | 61.0 | 2026-08-12 | |
| 21 | 93.4% | 69.5 | 2026-09-01 | |
| 22 | 93.2% | 68.8 | 2026-07-24 | |
| 23 | 93.2% | 65.3 | 2026-04-23 | |
| 24 | 93.1% | 66.6 | 2026-07-09 | |
| 25 | 93.1% | 65.9 | 2026-09-03 | |
| 26 | 93.1% | 59.3 | 2026-07-08 | |
| 27 | 92.9% | 57.7 | 2026-06-01 | |
| 28 | 92.8% | 66.3 | 2026-07-09 | |
| 29 | 92.8% | 63.2 | 2026-09-02 | |
| 30 | 92.8% | 62.0 | 2026-07-21 | |
| 31 | 92.8% | 60.8 | 2026-08-13 | |
| 32 | 92.6% | 69.3 | 2026-06-09 | |
| 33 | 92.6% | 64.4 | 2026-07-09 | |
| 34 | 92.6% | 62.9 | 2026-04-23 | |
| 35 | 92.5% | 64.4 | 2026-07-09 | |
| 36 | 92.3% | 60.6 | 2026-05-19 | |
| 37 | 92.3% | 60.3 | 2026-08-26 | |
| 38 | 92.2% | 63.1 | 2026-05-19 | |
| 39 | 92.1% | 63.1 | 2026-08-13 | |
| 40 | 92.1% | 62.8 | 2026-05-19 | |
| 41 | 92.0% | 64.7 | 2026-03-05 | |
| 42 | 92.0% | 63.3 | 2026-05-28 | |
| 43 | 92.0% | 61.0 | 2026-09-02 | |
| 44 | 91.9% | 64.6 | 2026-07-24 | |
| 45 | 91.7% | 63.5 | 2026-08-18 | |
| 46 | 91.5% | 63.8 | 2026-02-05 | |
| 47 | 91.4% | 62.4 | 2026-04-16 | |
| 48 | 91.3% | 58.2 | 2026-08-21 | |
| 49 | 91.2% | 62.3 | 2026-08-26 | |
| 50 | 91.1% | 59.9 | 2026-07-09 | |
| 51 | 91.1% | 59.4 | 2026-04-20 | |
| 52 | 91.1% | 58.6 | 2026-04-07 | |
| 53 | 91.1% | 58.4 | 2026-06-30 | |
| 54 | 91.0% | 59.7 | 2026-04-23 | |
| 55 | 90.8% | 62.8 | 2026-07-09 | |
| 56 | 90.8% | 60.0 | 2025-11-18 | |
| 57 | 90.8% | 59.4 | 2026-07-31 | |
| 58 | 90.6% | 69.4 | 2026-09-01 | |
| 59 | 90.5% | 59.1 | 2026-08-26 | |
| 60 | 90.5% | 57.8 | 2026-04-24 |
More reasoning benchmarks · All LLM benchmarks
Cite as: BenchLeader, “GPQA Diamond (AA) leaderboard”, data as of 26 Oct 2026, https://www.benchleader.com/benchmarks/aa_gpqa.
GPQA Diamond (AA): questions
- What does GPQA Diamond (AA) measure?
- GPQA Diamond is a set of 198 multiple-choice questions in biology, physics and chemistry written by PhD-level domain experts. The questions are designed to be "Google-proof": a skilled non-expert with unlimited web access still answers only about a third correctly, while experts in the field score around two-thirds. The Diamond subset keeps only the questions that experts answered correctly and non-experts got wrong. Scores are reported in percent of tasks solved; higher is better.
- Which AI model leads GPQA Diamond (AA)?
- GPT-6 Astra leads GPQA Diamond (AA) with 96.3% as of 26 Oct 2026, ahead of GPT-6 Astra at 96.1%.
- How many models have GPQA Diamond (AA) results?
- 559 model configurations have a GPQA Diamond (AA) result on BenchLeader, all taken from Artificial Analysis.
- Who runs GPQA Diamond (AA) and how often is it updated?
- GPQA Diamond (AA) is published by Artificial Analysis. BenchLeader re-reads the published results once a day and records the date each result was published.
- Does GPQA Diamond (AA) count toward the BenchLeader Index?
- No. GPQA Diamond (AA) is shown for reference but left out of the composite index.