Agentic misalignment suite (Anthropic)
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
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 Claude Sonnet 4.5 0%
- 2
Muse Wonder Full 0%
- 3
Muse Spark Open 0%
- 4
Muse Spark 1.3 0%
- 5
Muse Spark 1.1 1.10%
- 6
Muse Spark 47.7%
- 7 Claude Opus 4 84%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 | 0% | Sep 2025 | Lab model card | |
| 2 | | 0% | Oct 2026 | Lab model card | |
| 3 | | 0% | Oct 2026 | Lab model card | |
| 4 | | 0% | Oct 2026 | Lab model card | |
| 5 | | 1.10% | Jul 2026 | Lab model card | |
| 6 | | 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.
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.
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.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Oct 15, 2026 | 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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 23, 2026 | | 0 | Agentic Misalignment (Lynch et al.) harmful-action rate, Muse Spark 1.3 (API) (Table 2, Table 15) | Alignment |
| Oct 12, 2026 | | 0 | Agentic Misalignment harmful action rate, lower is better (Loss of Control Evaluations table, section 4) | Alignment |
| Jul 9, 2026 | | 1.1 | Agentic Misalignment (Lynch et al.) harmful action rate (Table 2, Table 13) | Alignment |
| Jun 12, 2026 | | 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
- 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%