DTBench leaderboard
As of 6 Nov 2026, the top score on DTBench is 98.9% by Claude Opus 5.5 (Anthropic), ahead of Claude Fable 5 at 98.4%, across 230 model configurations with a published result (Epoch AI Benchmarking Hub, result dated 22 Sep 2026). Decision problems where the model's answer preference is compared with decision-theoretic expert answers. DTBench is shown for reference only and does not count toward the BenchLeader Index.
Key facts (as of 6 Nov 2026)
- Claude Opus 5.5 holds the top DTBench score at 98.9% (Epoch AI Benchmarking Hub, 22 Sep 2026).
- Claude Fable 5 is second on DTBench at 98.4% (Epoch AI Benchmarking Hub, 9 Jun 2026).
- DTBench: Decision-theory dilemmas scored against expert answers (Epoch AI Benchmarking Hub).
- 230 model configurations have a published DTBench result on BenchLeader (BenchLeader, 6 Nov 2026).
- DTBench does not feed the BenchLeader Index; it is shown for reference (BenchLeader methodology).
Decision-theory dilemmas scored against expert answers.
- Published by
- Epoch AI Benchmarking Hub
- Category
- Reasoning
- Index weight
- Reference only
- Models
- 230
- Data as of
- 6 Nov 2026
CC BY 4.0 — Epoch AI, ‘AI Benchmarking Hub’, epoch.ai/benchmarks. Mirrored boards credit their original publishers.
What the test looks like
Decision problems where the model's answer preference is compared with decision-theoretic expert answers.
How it is scored
Accuracy, as published by DTBench.
What to keep in mind
Philosophy-of-decision framing; a large model set.
- 1Claude Opus 5.5 (max)98.9%
- 2Claude Fable 5 (max)98.4%
- 3Claude Opus 5 (high)97.9%
- 4Claude Opus 5 (xhigh)97.9%
- 5Claude Fable 5.197.6%
- 6Claude Opus 5 (max)97.6%
- 7Claude Fable 5.1 (xhigh)97.6%
- 8Gemini 4 Argon (low)97.6%
- 9GPT-6 Astra (xhigh)97.3%
- 10Claude Opus 5.5 (xhigh)97.3%
- 11Gemini 4 Argon (high)97.3%
- 12Claude Sonnet 5.5 (max)97.3%
- 13GPT-6 Sol (max)97.3%
- 14Grok 4.6 (xhigh)97.3%
- 15Gemini 4 Argon (medium)97.3%
| # | ||||
|---|---|---|---|---|
| 1 | 98.9% | 69.3 | 2026-09-22 | |
| 2 | 98.4% | 65.3 | 2026-06-09 | |
| 3 | 97.9% | 64.3 | 2026-07-24 | |
| 4 | 97.9% | 60.2 | 2026-07-24 | |
| 5 | 97.6% | 66.4 | 2026-09-01 | |
| 6 | 97.6% | 65.4 | 2026-07-24 | |
| 7 | 97.6% | 65.4 | 2026-09-01 | |
| 8 | 97.6% | – | 2026-09-30 | |
| 9 | 97.3% | 66.8 | 2026-09-03 | |
| 10 | 97.3% | 66.3 | 2026-09-22 | |
| 11 | 97.3% | 66.0 | 2026-09-30 | |
| 12 | 97.3% | 65.4 | 2026-09-28 | |
| 13 | 97.3% | 63.3 | 2026-09-22 | |
| 14 | 97.3% | 57.9 | 2026-08-12 | |
| 15 | 97.3% | – | 2026-09-30 | |
| 16 | 97.3% | – | 2026-06-09 | |
| 17 | 97.1% | 68.2 | 2026-09-03 | |
| 18 | 97.1% | 65.1 | 2026-09-03 | |
| 19 | 97.1% | 62.3 | 2026-09-01 | |
| 20 | 97.1% | – | 2026-02-19 | |
| 21 | 96.8% | 62.2 | 2026-08-13 | |
| 22 | 96.5% | 67.3 | 2026-09-29 | |
| 23 | 96.5% | 67.0 | 2026-09-03 | |
| 24 | 96.5% | 65.8 | 2026-09-22 | |
| 25 | 96.5% | 64.3 | 2026-06-09 | |
| 26 | 96.5% | 64.0 | 2026-09-01 | |
| 27 | 96.5% | 62.0 | 2026-09-22 | |
| 28 | 96.5% | 57.7 | 2026-09-02 | |
| 29 | 96.5% | 56.9 | 2026-07-08 | |
| 30 | 96.0% | 64.3 | 2026-04-23 | |
| 31 | 96.0% | 63.4 | 2026-09-28 | |
| 32 | 96.0% | 58.3 | 2026-09-21 | |
| 33 | 96.0% | – | 2026-04-23 | |
| 34 | 96.0% | – | 2026-07-09 | |
| 35 | 95.7% | 64.2 | 2026-07-09 | |
| 36 | 95.7% | – | 2026-06-09 | |
| 37 | 95.7% | 54.4 | 2026-09-02 | |
| 38 | 95.5% | 65.4 | 2026-07-09 | |
| 39 | 95.5% | 63.6 | 2026-07-09 | |
| 40 | 95.5% | 61.2 | 2026-07-21 | |
| 41 | 95.5% | 60.1 | 2026-02-19 | |
| 42 | 95.5% | 59.5 | 2026-09-22 | |
| 43 | 95.2% | 63.9 | 2026-10-12 | |
| 44 | 95.2% | 61.5 | 2026-07-09 | |
| 45 | 95.0% | 57.0 | 2026-10-07 | |
| 46 | 94.9% | 62.7 | 2026-09-03 | |
| 47 | 94.9% | 60.7 | 2026-09-02 | |
| 48 | 94.9% | 60.2 | 2026-05-28 | |
| 49 | 94.9% | 57.4 | 2026-07-24 | |
| 50 | 94.9% | 56.2 | 2026-09-02 | |
| 51 | 94.9% | – | 2026-02-19 | |
| 52 | 94.7% | 62.5 | 2026-05-19 | |
| 53 | 94.7% | 61.7 | 2026-08-05 | |
| 54 | 94.7% | 60.3 | 2026-08-13 | |
| 55 | 94.7% | 59.5 | 2026-04-16 | |
| 56 | 94.4% | 63.2 | 2026-03-05 | |
| 57 | 94.4% | – | 2026-07-09 | |
| 58 | 94.1% | 59.3 | 2026-09-01 | |
| 59 | 94.1% | 58.6 | 2026-09-28 | |
| 60 | 93.9% | 60.4 | 2026-07-09 |
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Cite as: BenchLeader, “DTBench leaderboard”, data as of 6 Nov 2026, https://www.benchleader.com/benchmarks/dtbench.
DTBench: questions
- What does DTBench measure?
- Decision problems where the model's answer preference is compared with decision-theoretic expert answers. Scores are reported in percent of tasks solved; higher is better.
- What is the top score on DTBench?
- As of 6 Nov 2026, the highest score on DTBench is 98.9% by Claude Opus 5.5 (result dated 22 Sep 2026), ahead of Claude Fable 5 at 98.4%. Scores come from Epoch AI Benchmarking Hub and are re-read daily.
- Which AI model leads DTBench?
- Claude Opus 5.5 leads DTBench with 98.9% as of 6 Nov 2026 (result dated 22 Sep 2026), ahead of Claude Fable 5 at 98.4%.
- How many models have DTBench results?
- 230 model configurations have a DTBench result on BenchLeader, all taken from Epoch AI Benchmarking Hub.
- Who runs DTBench and how often is it updated?
- DTBench is published by Epoch AI Benchmarking Hub. BenchLeader re-reads the published results once a day and records the date each result was published.
- Does DTBench count toward the BenchLeader Index?
- No. DTBench is shown for reference but left out of the composite index.