Benchmark Almanac

Agentic misalignment suite (Anthropic)

Claude Sonnet 4.5 0% leads since September 2025
In use

Agents in simulated company settings face threats or goal conflicts that invite blackmail, leaking or sabotage. Score is the misaligned action rate.

Based on Anthropic's Agentic Misalignment research. The cards use internal variants.

Made by
Anthropic
Released
June 2025
Kind
Deception and alignment
Level
Expert
Scored
Graded by a model
Answers
Agent task
Tasks
All public
Strongest model tested
Muse Spark 1.3 #26 on the capability index
Last in a launch post
October 2026
Last model added
October 2026
7
Models scored in lab cards
1
Launch post lists it, from 1 lab
9
System cards report it, from 2 labs

4 models share the top score of 0%

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 Sonnet 4.5 0%
  2. 2 Muse Wonder Full 0%
  3. 3 Muse Spark Open 0%
  4. 4 Muse Spark 1.3 0%
  5. 5 Muse Spark 1.1 1.10%
  6. 6 Muse Spark 47.7%
  7. 7 Claude Opus 4 84%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Claude Sonnet 4.5 0% Sep 2025 Lab model card
2 Muse Wonder Full 0% Oct 2026 Lab model card
3 Muse Spark Open 0% Oct 2026 Lab model card
4 Muse Spark 1.3 0% Oct 2026 Lab model card
5 Muse Spark 1.1 1.10% Jul 2026 Lab model card
6 Muse Spark 47.7% Jun 2026 Lab model card
7 Claude Opus 4 84% May 2025 Lab model card

2 models have held number one in labs’ own numbers since its release in June 2025

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 Best so far
0% 20% 40% 60% 80% 100% 2025 2026 2027 Muse Spark 1.1 Muse Spark Claude Opus 4 0% 20% 40% 60% 80% 100% 2025 2026 2027 Muse Spark 1.1 Muse Spark

Source: Labs’ model cards

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
Oct 15, 2026 Muse Spark Open 0 Agentic Misalignment benchmark, misbehavior rate 0% (text, lower is better)

9 system cards report it, from 2 labs

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 23, 2026 Muse Spark 1.3 system card 0 Agentic Misalignment (Lynch et al.) harmful-action rate, Muse Spark 1.3 (API) (Table 2, Table 15) Alignment
Oct 12, 2026 Muse Wonder Full model card 0 Agentic Misalignment harmful action rate, lower is better (Loss of Control Evaluations table, section 4) Alignment
Jul 9, 2026 Muse Spark 1.1 system card 1.1 Agentic Misalignment (Lynch et al.) harmful action rate (Table 2, Table 13) Alignment
Jun 12, 2026 Muse Spark system card 47.7 Agentic Misalignment harmful action rate (Table 2, Table 23) Alignment
Feb 5, 2026 Claude Opus 4.6 system card Agentic misalignment evaluations Research Sabotage, Framing for Crimes and Blackmail, misalignment rates under evaluation awareness steering and controls, text says near zero in all conditions, chart without printed values (6.5.4, Figure 6.5.4.A) Alignment
Nov 24, 2025 Claude Opus 4.5 system card Agentic misalignment evaluations Research Sabotage, Framing for Crimes and Blackmail, control and steered misalignment rates in an evaluation awareness steering case study, chart without printed values (Figure 6.7.2.B) Alignment
Sep 29, 2025 Claude Sonnet 4.5 system card 0 Agentic misalignment suites, about 52,000 prompts, half with extended thinking. No deceptive actions with extended thinking, 2 without. Blackmail Suite, Research Sabotage and Framing for Crimes each 0.0 (7.5.4.1, Figure 7.5.4.1.A) Alignment
Aug 5, 2025 Claude Opus 4.1 system card addendum Agentic misalignment blackmail scenario, extended thinking off and 16k, chart without printed values, in-training model (Figure 4.2.A) Alignment
May 22, 2025 Claude Opus 4 system card 84 Opportunistic blackmail scenario, blackmail rate when the replacement AI shares its values: 84% of rollouts, lower is better (4.1.1.2) 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%