ExploitBench
Integrity rank #24 of 61 · 8 models scored · top score 47.4 · GPT-5.5
unknown
Strongest on contamination resistance, weakest on discrimination. Caveat: the public test set does not rule out training-data contamination.
Reported scores — protocols may differ. How we compare
| # | Model | Score | Evidence | Measured |
|---|---|---|---|---|
| 1 | GPT-5.5 | 47.4 | unverifiedT2 | 2026-04-23 |
| 2 | Claude Opus 4.7 | 26.5 | unverifiedT2 | 2026-04-16 |
| 3 | Gemini 3.1 Pro | 26.1 | unverifiedT2 | 2026-02-19 |
| 4 | Claude Sonnet 4.6 | 23.6 | unverifiedT2 | 2026-02-17 |
| 5 | Kimi K2.6 | 18.4 | unverifiedT2 | 2026-04-20 |
| 6 | GLM-5.1 | 18.1 | unverifiedT2 | 2026-04-07 |
| 7 | Claude Haiku 4.5 | 13.7 | unverifiedT2 | 2025-10-15 |
| 8 | MiniMax-M2.7 | 13.3 | unverifiedT2 | 2026-03-18 |
Continue from this leaderboard into the tightest head-to-head reads.
Weighted composite. Each dimension opens to the source-backed sub-signals it is computed from.
Claims drawn from cited facts, not live model generation.
The benchmark's integrity score of 89 corresponds to an A grade, reflecting its position as rank 19 out of 51 benchmarks in the universe. This score underscores its effectiveness as a health indicator for frontier models under a disclosed harness.
1 cited fact
ExploitBench: ExploitBench as reported in Epoch AI's Capabilities Index CSV.
GPT-5.5 leads ExploitBench at 47.4. The full leaderboard above lists every recorded measurement, not just the headline number.
8 models have recorded scores on ExploitBench, spanning a score spread of 34.1.
tensor.news grades ExploitBench A for integrity (score 94/100), ranking #24 of 61 benchmarks we assess across discrimination, saturation, contamination resistance, harness comparability, and freshness.
No — ExploitBench still has headroom and continues to discriminate between models rather than bunching them at the ceiling.
Its test set is unknown, so contamination risk is on the table: a high score may partly reflect training-data overlap rather than capability.
Scores are reported under a consistent harness, so comparisons on ExploitBench are reasonably apples-to-apples.
Every ExploitBench measurement is source-backed and tagged reproduced, self-reported, or unverified; the underlying record cites epoch.ai/data/eci_benchmarks.csv.