safety benchmark
ExploitGym is a benchmark based on real-world vulnerabilities in userspace programs, Google's V8 engine, and the Linux kernel, in which agents craft end-to-end exploits for unauthorized code execution.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score42.40% | Percentile100.00% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score33.70% | Percentile75.00% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score23.20% | Percentile50.00% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelZA | Score15.00% | Percentile25.00% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score12.40% | Percentile0.00% | Participants5 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What ExploitGym measures and how its scores work.
ExploitGym is a safety benchmark that provides a vulnerability and a proof-of-vulnerability input and requires agents to create a working end-to-end exploit.
It measures performance using Score, reported as a ratio, for achieving unauthorized code execution.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about ExploitGym.
GPT-6 Astra is currently ranked first with 42.40%.
The current leaders are GPT-6 Astra (42.40%), GPT-5.6 Sol (33.70%), and GPT-5.6 Terra (23.20%).
GPT-5.6 Luna has the lowest matched official input price at $0.20 input / $1.2 output per 1M tokens.
The fastest matched records are GLM-5.3 (472.69 tok/s via FriendliAI), GPT-5.6 Terra (99.35 tok/s via OpenAI), and GPT-5.6 Luna (41.87 tok/s via OpenAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance using Score, reported as a ratio, for achieving unauthorized code execution.
Yes. Higher values rank better for this benchmark.
5 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis exploitgym AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
GPT-6 Astra currently leads ExploitGym with 42.40%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.