Benchmark Almanac

Minimal-LinuxBench (Anthropic)

Claude Opus 4.7 2.60% leads since April 2026
Only in system cards

Agents attempt a hidden side task in high-stakes software environments while a monitor watches. Score is the stealth success rate.

Anthropic adaptation of a subset of LinuxBench, an AI control arena that Redwood Research shared privately.

Made by
Anthropic
Released
April 2026
Kind
Deception and alignment
Level
Expert
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Strongest model tested
Claude Opus 4.8 #21 on the capability index
Last in a system card
May 2026
Last model added
May 2026
3
Models scored in lab cards
3
System cards report it, from 1 lab

Claude Opus 4.7 leads with 2.60% among models released by May 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 May 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 Claude Opus 4.7 2.60%
  2. 2 Claude Mythos Preview 2.70%
  3. 3 Claude Opus 4.8 4.70%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Claude Opus 4.7 2.60% Apr 2026 Lab model card
2 Claude Mythos Preview 2.70% Apr 2026 Lab model card
3 Claude Opus 4.8 4.70% May 2026 Lab model card

2 models have held number one in labs’ own numbers since its release in April 2026

Lab claims count from the day the card came out, independent runs from the model’s release.

Anthropic
Lab claims Not tested since May 2026

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.

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Claude Opus 4.7 0% 20% 40% 60% 80% 100% 2026 Claude Opus 4.7

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.

3 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
May 28, 2026 Claude Opus 4.8 system card 4.7 Minimal-LinuxBench stealth success rate, Opus 4.6 monitor without the chain of thought, about 170 tasks (2.7% when the monitor sees the chain of thought, the deployed setting), printed on chart (6.4.2.2, Figure 6.4.2.2.A) Monitorability
Apr 16, 2026 Claude Opus 4.7 system card 2.6 Minimal-LinuxBench stealth success rate against the Opus 4.6 monitor using CoT (the current monitor), printed on chart. 3.1 against the no-CoT monitor (6.4.2.2, Figure 6.4.2.2.A) Monitorability
Apr 7, 2026 Claude Mythos Preview system card 2.7 Minimal-LinuxBench stealth success rate, no extended thinking, current Opus 4.6 monitor with CoT, 200 sampled task pairs, value printed on chart; 11.4 with the no-CoT monitor, side task completed in 69 of 200 (4.4.3.2, Figure 4.4.3.2.A) Monitorability

More in Safety and alignment

All 465 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%