Benchmark Almanac

Meta curated CTF set

Only in system cards

Agents solve 198 public and private capture-the-flag challenges across six security domains. Reports pass@1.

In-house Meta mix of public and private CTF challenges, first described in the Muse Spark Safety and Preparedness Report.

Made by
Meta
Released
April 2026
Kind
Capture-the-flag challenges
Level
Expert
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Strongest model tested
Muse Spark 1.1 #47 on the capability index
Last in a system card
July 2026
Last model added
July 2026
2
Models scored in lab cards
2
System cards report it, from 1 lab

Muse Spark 1.1 leads with 89.9%

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 Muse Spark 1.1 89.9%
  2. 2 Muse Spark 72%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Muse Spark 1.1 89.9% Jul 2026 Lab model card
2 Muse Spark 72% Jun 2026 Lab model card

Meta’s own number for Muse Spark 1.1 passed 85% in July 2026

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 Near the ceiling (85%) Muse Spark 1.1 Muse Spark 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Muse Spark 1.1 Muse Spark

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
Jul 9, 2026 Muse Spark 1.1 system card 89.9 Curated CTFs pass@1, 198 challenges (Table 1, Table 4). pass@5 = 95.7 Cyber risk
Jun 12, 2026 Muse Spark system card 72 Curated CTF set pass@1, 198 challenges (Table 8, Figure 18). pass@10 86.4 Cyber risk

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  • SRE-Bench In use Software reverse engineering without source: 262 binary instances from 19 private programs, each with six graded objectives. GPT-6 Astra 56.9%
  • CyScenarioBench In use Scenario-based long-horizon security challenges in sandboxes, organized in task, scenario and campaign tiers. Evaluation set kept private. Gemini 4 Argon 100%
  • ExploitBench - Internal Port In use Agents develop working exploits for recently disclosed vulnerabilities to limit contamination. Scored as arbitrary code execution success rate. GPT-6 Cyber 42%