Benchmark Almanac

Tool use prompt injection evaluation (Anthropic)

Claude Sonnet 4.5 96% Only in system cards

Agents run bash commands where files, scripts or command outputs carry injected instructions. Score is the attack prevention rate.

In-house Anthropic evaluation reported without safeguards. The test cases are not public.

Made by Anthropic Released Sep 2025 Jailbreaks and prompt injection Tasks kept private Last in a system card Oct 2025 Last model added Oct 2025
Level
Expert Specialists with years of training, often over hours of work
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
2
Models scored in lab cards
2
System cards report it, from 1 lab

Claude Sonnet 4.5 leads with 96%

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 96%
  2. 2 Claude Haiku 4.5 93.4%
#ModelScoreSettingDateSource
1 Claude Sonnet 4.5 96% Sep 2025 Model card
2 Claude Haiku 4.5 93.4% Oct 2025 Model card

The best score passed 85% in Sep 2025

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
0% 20% 40% 60% 80% 100% Near the ceiling (85%) Claude Sonnet 4.5 0% 20% 40% 60% 80% 100% Near the ceiling (85%) Claude Sonnet 4.5

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.

DateDocumentScoreAs the document writes itSection
15 Oct 2025 Claude Haiku 4.5 system card 93.4 Tool use evaluation, attack prevention score without safeguards (Table 3.2.2.C) Robustness
29 Sep 2025 Claude Sonnet 4.5 system card 96 Tool use prompt injection evaluation, 500 synthetic cases, attack prevention score without safeguards. 99.4% with safeguards (Table 4.2.4.A) Robustness

More in Safety and alignment

All 444 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%