Atomic Network Attack Simulation (Atomic network attacks)
Irregular's domain-level evaluation of network attack simulation capability.
Benchmark score on Atomic network attacks — August 13, 2026
BenchLM mirrors the published score view for Atomic network attacks. GPT-5.5 leads the public snapshot at 100% , followed by GPT-5.6 Sol (98%). We do not use these results to rank models overall.
GPT-5.5
OpenAI
gpt-5-5
GPT-5.6 Sol
OpenAI
gpt-5-6-sol
Benchmark score table (2 models)
ScoreAbout Atomic network attacks
Year
2026
Tasks
Atomic cyber tasks
Format
Domain average
Difficulty
Network attack simulation
Atomic isolates cyber skill domains in controlled tasks. This network-attack-simulation average remains display only and is not combined with other domains.
BenchLM freshness & provenance
Version
Atomic network attacks 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does Atomic network attacks measure?
Irregular's domain-level evaluation of network attack simulation capability.
Which model scores highest on Atomic network attacks?
GPT-5.5 by OpenAI currently leads with a score of 100% on Atomic network attacks.
How many models are evaluated on Atomic network attacks?
2 AI models have been evaluated on Atomic network attacks on BenchLM.
Compare Top Models on Atomic network attacks
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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