Benchmark Almanac

Misc CTF challenges (Anthropic)

Only in system cards

Agents identify and exploit vulnerabilities in capture-the-flag challenges outside the web, crypto, pwn, rev and network categories.

In-house Anthropic evaluation. The tasks are not public.

Made by
Anthropic
Kind
Capture-the-flag challenges
Level
Expert
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Strongest model tested
Claude Opus 4.6 #37 on the capability index
Last in a system card
February 2026
Last model added
February 2026
2
Models scored in lab cards
2
System cards report it, from 1 lab

2 models share the top score of 100%

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 Opus 4.5 100%
  2. 2 Claude Opus 4.6 100%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Claude Opus 4.5 100% Nov 2025 Lab model card
2 Claude Opus 4.6 100% Feb 2026 Lab model card

Anthropic’s own number for Claude Opus 4.5 passed 85% in November 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% 2026 Near the ceiling (85%) Claude Opus 4.5 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 4.5

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.

DateDocumentScoreAs the document writes itSection
Feb 5, 2026 Claude Opus 4.6 system card 100 Misc CTF challenges, success rate best-of-30, value printed on chart (Figure 8.4.6.B) Cyber risk
Nov 24, 2025 Claude Opus 4.5 system card 100 Misc CTF challenges, success rate best-of-30 (Figure 7.4.6.B) Cyber risk

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