Refusals + User Jailbreak (xAI)
Models get the xAI refusal set with jailbreak templates in the user message. The metric is the answer rate.
In-house xAI evaluation reported in the Grok 4 and Grok 4.1 model cards.
- Made by
- xAI (SpaceXAI)
- Released
- August 2025
- Kind
- Jailbreaks and prompt injection
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- Kept private
- Strongest model tested
- Grok 4.20 #60 on the capability index
- Last in a launch post
- March 2026, dropped before it saturated
- Last model added
- April 2026
3 models share the top score of 0% among models released by February 2026
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.
The newest model with a score here came out in February 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon - GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1 Grok 4 0%
- 2 grok-code-fast-1 0%
- 3 Grok 4 Fast 0%
- 4 Grok 4.20 1.00%
- 5 Grok 4.1 2.00%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok 4 | 0% | Aug 2025 | Lab model card | |
| 2 | grok-code-fast-1 | 0% | Aug 2025 | Lab model card | |
| 3 | Grok 4 Fast | 0% | Sep 2025 | Lab model card | |
| 4 | Grok 4.20 | 1.00% | Mar 2026 | Lab model card | |
| 5 | Grok 4.1 | 2.00% | Nov 2025 | Lab model card |
Number one over time
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
Labs headline it less often now, last in March 2026
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 |
|---|---|---|---|
| Mar 9, 2026 | Grok 4.20 | 1 | Chat Refusals + User Jailbreak, violation rate 0.01, Grok 4.2 SA, Table 1 |
5 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 |
|---|---|---|---|---|
| Apr 7, 2026 | Grok 4.20 model card | 1 | Chat Refusals + User Jailbreak, violation rate 0.01, Grok 4.2 SA, Table 1 | Safety |
| Nov 17, 2025 | Grok 4.1 model card | 2 | Refusals + User Jailbreak, answer rate 0.02, Grok 4.1 Thinking (Table 1) | Robustness |
| Sep 19, 2025 | Grok 4 Fast model card | 0 | Refusals + User Jailbreak, answer rate 0.00, 0.00 non-reasoning (Table 1) | Robustness |
| Aug 26, 2025 | grok-code-fast-1 model card | 0 | Refusals + User Jailbreak, answer rate 0.00 (Table 1) | Robustness |
| Aug 20, 2025 | Grok 4 model card | 0 | Refusals + User Jailbreak, answer rate 0.00, Grok 4 API (Table 1) | Robustness |
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%