VLGuard
Vision language models answer safe and unsafe image and text pairs from the VLGuard test set. Responses are judged for harmfulness and refusal.
Built as a safety fine-tuning dataset with a held-out test set. The Phi-3 report gives a judged score from 0 to 10.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
Phi-3.5-vision-instruct leads with 9.10
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 Phi-3.5-vision-instruct 9.10
- 2
Phi-4-multimodal 8.91
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Phi-3.5-vision-instruct | 9.10 | Aug 2024 | Model card | |
| 2 | Phi-4-multimodal | 8.91 | Mar 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 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 |
|---|---|---|---|---|
| 3 Mar 2025 | Phi-4-multimodal technical report | 8.91 | VLGuard (public), 0 to 10, higher is safer (Table 15) | Safety |
| 30 Aug 2024 | Phi-3.5-vision-instruct technical report | 9.1 | VLGuard (public), 0 to 10, higher is better (Table 7) | 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% - AgentDojo In use Agents do tool-use tasks while tools and data carry prompt injections. Attack success rate counts hijacked runs. Grok 4 Fast 0%
- MASK In use Measures whether a model contradicts its own elicited beliefs under pressure to lie. Honesty separated from accuracy.
Muse Spark Open 98.1% - 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. GPT-6 Astra 8.50%
- Agentic misalignment suite (Anthropic) In use Agents in simulated company settings face threats or goal conflicts that invite blackmail, leaking or sabotage. Score is the misaligned action rate. Claude Sonnet 4.5 0%