HERA-Bench - Final Harness - Paired Success: leaderboard

HERA-Bench (2026): explicit Appendix A1.T4 reasoning and routed precision retained per model; 60 matched feasible/infeasible pairs, 120 tasks with executable verifiers. The final harness is evolved using GPT-5.6 Luna and fixed for cross-model evaluation; the base harness is separate. Paired success requires correct action and correct abstention on the same pair; no training-pool measurements mixed in. Rate (%); higher is better.

Metric: Rate (%). Source: arxiv.org. Saturation forecast: Around January 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (High)80#6 (GPT-6 Astra)
2GPT-5.6 Sol (High)78.3#18 (GPT-5.6 Sol)
3GPT-5.6 Terra (High)73.3#41 (GPT-5.6 Terra)
4GPT-5.6 Luna70#70
5Grok 4.6 (High)66.7#25 (Grok 4.6)
6Claude Opus 5 (High)61.7#12 (Claude Opus 5)
7Gemini 3.5 Flash Lite (High)61.7#157 (Gemini 3.5 Flash Lite)
8Gemini 3.8 Flash (High)50#23 (Gemini 3.8 Flash)
9Gemini 3.1 Pro (Preview) (High)48.3#58 (Gemini 3.1 Pro (Preview))
10DeepSeek V4.1 Flash (High)46.7#36 (DeepSeek V4.1 Flash)
11Claude Sonnet 5 (High)41.7#56 (Claude Sonnet 5)
12Mistral Medium 3.5 (High)20#357 (Mistral Medium 3.5)
13Mistral Large 35#402

No result here: #4 Claude Opus 5.5, #7 Gemini 4 Argon, #8 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=hera-bench-final-harness-paired-success · How It Works · Data refreshed daily, snapshot 2026-10-21.