Benchmark Almanac

DRACO

Claude Opus 5 88.6% leads since Jul 2026 In use

100 deep-research tasks from real Perplexity queries across 10 domains, graded on about 40 expert rubric criteria each.

Built and saturation-tested with Perplexity's own system, which also tops the paper's results. No public code repo found.

In the authors’ words

We present DRACO (Deep Research Accuracy, Completeness, and Objectivity), a benchmark of complex deep research tasks. These tasks, which span 10 domains and draw on information sources from 40 countries, originate from anonymized real-world usage patterns within a large-scale deep research system. Tasks are sampled from a de-identified dataset of Perplexity Deep Research requests, then filtered and augmented to ensure that the tasks are anonymized, open-ended and complex, objectively evaluable, and representative of the broad scope of real-world deep research use cases. Outputs are graded against task-specific rubrics along four dimensions: factual accuracy (accuracy), breadth and depth of analysis (including completeness), presentation quality (including objectivity), and citation quality. DRACO is publicly available at https://hf.co/datasets/perplexity-ai/draco.

Abstract of DRACO: a Cross-Domain Benchmark for Deep Research Accuracy, Completeness, and Objectivity (arXiv:2602.11685, CC0)
Made by Perplexity Released Feb 2026 Deep research All tasks public Last in a launch post Oct 2026 Last model added Oct 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
11
Models scored in lab cards
4
Launch posts list it, from 4 labs
7
System cards report it, from 1 lab

Claude Opus 5 leads with 88.6%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Claude Opus 5 88.6%
  2. 2 Claude Fable 5.1 87.7%
  3. 3 Claude Opus 5.5 87.4%
  4. 4 Claude Sonnet 5.5 87%
  5. 5 Ling-3.1-flash 85.5%
  6. 6 Step 5 Preview 83.3%
  7. 7 Claude Haiku 5.5 81.5%
  8. 8 Claude Opus 4.8 80.4%
  9. 9 Claude Opus 4.7 77.7%
  10. 10 Tencent Hy4 preview 77.2%
  11. 11 MiniMax-M3 73.2%
#ModelScoreSettingDateSource
1 Claude Opus 5 88.6% Jul 2026 Model card
2 Claude Fable 5.1 87.7% Sep 2026 Model card
3 Claude Opus 5.5 87.4% Sep 2026 Model card
4 Claude Sonnet 5.5 87% Sep 2026 Model card
5 Ling-3.1-flash 85.5% Oct 2026 Model card
6 Step 5 Preview 83.3% Sep 2026 Model card
7 Claude Haiku 5.5 81.5% Oct 2026 Model card
8 Claude Opus 4.8 80.4% May 2026 Model card
9 Claude Opus 4.7 77.7% Apr 2026 Model card
10 Tencent Hy4 preview 77.2% Aug 2026 Model card
11 MiniMax-M3 73.2% Jun 2026 Model card

3 models have held number one since its release in Feb 2026

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

Anthropic
Lab claims Passed 85% in Jul 2026, by Claude Opus 5

The best score passed 85% in Jul 2026

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

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 5 Claude Opus 4.8 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 5 Claude Opus 4.8

4 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.

MiniMax
Tencent
StepFun
Ant Group
DateLaunch postScoreAs the post writes it
13 Oct 2026 Ling-3.1-flash 85.5 Draco
20 Sep 2026 Step 5 Preview 83.3 Draco
28 Aug 2026 Tencent Hy4 preview 77.2 DRACO
1 Jun 2026 MiniMax-M3 73.2 DRACO

7 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
7 Oct 2026 Claude Haiku 5.5 system card 81.5 DRACO, normalized score at max effort, Claude Opus 4.6 judge, printed on chart (Figure 8.8.2.A) Capabilities
28 Sep 2026 Claude Sonnet 5.5 system card 87 DRACO normalized score at max effort, 980k token budget (8.11.2, Figure 8.11.2.A) Capabilities
22 Sep 2026 Claude Opus 5.5 system card 87.4 DRACO normalized score at max effort, 980k-token budget, Claude Opus 4.6 judge, printed on chart (8.11.2, Figure 8.11.2.A) Capabilities
1 Sep 2026 Claude Fable 5.1 system card 87.7 DRACO normalized score at max effort, 980k-token budget, Claude Opus 4.6 judge, printed on chart (Figure 8.12.2.A) Capabilities
24 Jul 2026 Claude Opus 5 system card 88.6 DRACO normalized score at max effort, 980k-token budget, Claude Opus 4.6 judge, printed on chart (8.10.4, Figure 8.10.4.A) Capabilities
28 May 2026 Claude Opus 4.8 system card 80.4 DRACO normalized score, max effort, 1M-token limit with compaction, Claude Opus 4.6 judge (8.10.4) Capabilities
16 Apr 2026 Claude Opus 4.7 system card 77.7 DRACO normalized score, adaptive thinking at max effort, 1M token limit, Claude Opus 4.6 judge (8.8.4) Capabilities

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