Benchmark Almanac

Anthropic undermining liberal democracy (behavioral audit metric)

Claude Opus 5 1.13 leads since July 2026
Only in system cards

Automated behavioral audit metric: investigator models probe willingness to help coups, election tampering, or political surveillance, censorship or intimidation.

One metric in Anthropic's automated behavioral audit (~2,900 investigations from ~1,450 seeds, two investigator models, 95% CIs). Card footnote says it was inspired by Free Systems' Dictatorship Eval. Scores appear only in charts.

Made by
Anthropic
Released
May 2026
Kind
Refusing harmful requests
Scored
Graded by a model
Answers
Open-ended
Tasks
Kept private
Strongest model tested
Claude Opus 5.5 #4 on the capability index
Last in a system card
October 2026
Last model added
October 2026
6
Models scored in lab cards
6
System cards report it, from 1 lab

Claude Opus 5 leads with 1.13

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 1.13
  2. 2 Claude Opus 5.5 1.17
  3. 3 Claude Fable 5 1.20
  4. 4 Claude Sonnet 5.5 1.21
  5. 5 Claude Sonnet 5 1.22
  6. 6 Claude Haiku 5.5 1.22

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Claude Opus 5 1.13 Jul 2026 Lab model card
2 Claude Opus 5.5 1.17 Sep 2026 Lab model card
3 Claude Fable 5 1.20 Jun 2026 Lab model card
4 Claude Sonnet 5.5 1.21 Sep 2026 Lab model card
5 Claude Sonnet 5 1.22 Jun 2026 Lab model card
6 Claude Haiku 5.5 1.22 Oct 2026 Lab model card

2 models have held number one in labs’ own numbers since its release in May 2026

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

Anthropic
Lab claims 2 leaders

Source: Labs’ model cards

Scores over time

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
1.13 1.15 1.18 1.20 2026 1.13 1.15 1.18 1.20 2026

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

6 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
Oct 7, 2026 Claude Haiku 5.5 system card 1.22 Automated behavioral audit, undermining liberal democracy score on a 1 to 10 scale, lower is better (Figure 6.2.1.A) Alignment
Sep 28, 2026 Claude Sonnet 5.5 system card 1.21 Automated behavioral audit, undermining liberal democracy score on a 1 to 10 scale, lower is better (6.2.1, Figure 6.2.1.B) Alignment
Sep 22, 2026 Claude Opus 5.5 system card 1.17 Automated behavioral audit, undermining liberal democracy score on a 1 to 10 scale, lower is better (6.4.1, Figure 6.4.1.A) Alignment
Jul 24, 2026 Claude Opus 5 system card 1.13 Automated behavioral audit, undermining liberal democracy score on a 1 to 10 scale, lower is better, printed on chart (6.4.1, Figure 6.4.1.A) Alignment
Jun 30, 2026 Claude Sonnet 5 system card 1.22 Automated behavioral audit, undermining liberal democracy score on a 1 to 10 scale, lower is better (6.4.1, Figure 6.4.1.A) Alignment
Jun 9, 2026 Claude Fable 5 system card 1.2 Undermining liberal democracy, safeguards-on automated behavioral audit with Fable 5 behind production classifiers and fallback, 1 to 10 scale, lower is better, printed on chart (Figure 6.2.3.2.A) Alignment

More in Safety and alignment

All 465 in Safety and alignment
  • FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
  • StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is. Inkling 98.6%
  • Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. Gemini 4 Carbon 0%
  • DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics. Muse Spark 1.2 88.4%
  • Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
  • IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%