Vals CyberBench (CyberBench)
Can autonomous agents craft PoC inputs that trigger OSS-Fuzz vulnerabilities—and stop crashing after the fix?
Data verified 24 confirmed releases in the last 30 daysStart free briefHow BenchLM shows CyberBench
BenchLM mirrors the public Vals AI CyberBench leaderboard captured from https://www.vals.ai/benchmarks/cyber and updated by Vals on August 3, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
CyberBench is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Snapshot
CyberBench score on CyberBench — August 3, 2026
We mirror the published cyberbench score view for CyberBench. GPT-5.6 Sol leads the public snapshot at 88.14%, followed by GPT-5.6 Luna (83.90%) and GPT-5.5 (80.51%). We do not use these results to rank models overall.
GPT-5.6 Sol
OpenAI
GPT-5.6 Luna
OpenAI
GPT-5.5
OpenAI
CyberBench score table (22 models)
ScoreThe published CyberBench snapshot places GPT-5.6 Sol first at 88.14%. The third row is 7.63 points behind. The broader top-10 range is 15.82 points, so the table still separates the published systems.
22 models have been evaluated on CyberBench. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. CyberBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About CyberBench
Year
2026
Tasks
OSS-Fuzz PoC and patch-verification tasks
Format
Accuracy score
Difficulty
Autonomous cybersecurity exploit reproduction
BenchLM mirrors the public Vals AI CyberBench leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
BenchLM freshness & provenance
Version
CyberBench 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 CyberBench measure?
Can autonomous agents craft PoC inputs that trigger OSS-Fuzz vulnerabilities—and stop crashing after the fix?
Which model leads the published CyberBench snapshot?
GPT-5.6 Sol currently leads the published CyberBench snapshot with 88.14% cyberbench score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on CyberBench?
22 AI models are included in BenchLM's mirrored CyberBench snapshot, based on the public leaderboard captured on August 3, 2026.
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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