Multimodal policy red-teaming (Anthropic)
Models answer multi-turn image and text conversations on harmful topics such as child safety, weapons and fraud. Score is the share of harmless responses.
In-house Anthropic Trust and Safety evaluation. The Claude 3 model card used 378 prompts.
- Made by
- Anthropic
- Released
- March 2024
- Kind
- Refusing harmful requests
- Level
- Everyday
- Scored
- Graded by people
- Answers
- Open-ended
- Tasks
- Kept private
- Strongest model tested
- Claude 3 Opus #172 on the capability index
- Last in a system card
- March 2024
- Last model added
- March 2024
Claude 3 Sonnet leads with 99.2%
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 3 Sonnet 99.2%
- 2 Claude 3 Opus 97.9%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude 3 Sonnet | 99.2% | Mar 2024 | Lab model card | |
| 2 | Claude 3 Opus | 97.9% | Mar 2024 | Lab model card |
Anthropic’s own number for Claude 3 Sonnet passed 85% in March 2024
All the scores we have, one dot each, so a model tested at several settings appears more than once.
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.
2 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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Mar 4, 2024 | Claude 3 Sonnet model card | 99.2 | Multimodal policy red-teaming, responded harmlessly to 375/378 prompts (7.1.1, Figure 17) | Safety |
| Mar 4, 2024 | Claude 3 Opus model card | 97.9 | Multimodal policy red-teaming, responded harmlessly to 370/378 prompts (7.1.1, Figure 17) | Safety |
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%