SafePyramid - Exact Match: leaderboard

Exact-match rate on SafePyramid (2026), an in-context policy guardrailing benchmark: the percent of the 3,000 cases for which the predicted set of violated rules equals the ground-truth set, with refused cases excluded. Higher is better.

Metric: Rule matching rate (%) over all 3,000 SafePyramid cases: per case (a multi-turn conversation plus an in-context safety policy), the predicted set of violated rules matches the ground-truth set when neither false positives nor false negatives exceed (1 - tau) of the true violations; at tau = 1.0 only, i.e. the exact violated-rule set; per-policy evaluation, refused cases excluded; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 12 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.7 (Max)35#79 (Claude Opus 4.7)
2GPT-5.5 (xHigh)34.9#49 (GPT-5.5)
3DeepSeek V4 Pro (Max)31.7#188 (DeepSeek V4 Pro)
4Seed 2.0 Pro (High)29.5#211 (Seed 2.0 Pro)
5Qwen 3.6 Max (Preview) (Thinking)29.2
6Gemini 3.5 Flash (High)28.1#101 (Gemini 3.5 Flash)
7Hy3-preview (High)27.4#316 (Hy3-preview)
8Grok 4.3 (High)25.1#333 (Grok 4.3)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=safepyramid-exact-match · How It Works · Data refreshed daily, snapshot 2026-11-13.