HERA-Bench - Base 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 April 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (High)70#6 (GPT-6 Astra)
2GPT-5.6 Sol (High)66.7#18 (GPT-5.6 Sol)
3GPT-5.6 Terra (High)66.7#41 (GPT-5.6 Terra)
4Grok 4.6 (High)60#25 (Grok 4.6)
5GPT-5.6 Luna48.3#70
6Gemini 3.8 Flash (High)48.3#23 (Gemini 3.8 Flash)
7Gemini 3.5 Flash Lite (High)43.3#157 (Gemini 3.5 Flash Lite)
8DeepSeek V4.1 Flash (High)41.7#36 (DeepSeek V4.1 Flash)
9Claude Opus 5 (High)38.3#12 (Claude Opus 5)
10Gemini 3.1 Pro (Preview) (High)35#58 (Gemini 3.1 Pro (Preview))
11Claude Sonnet 5 (High)33.3#56 (Claude Sonnet 5)
12Mistral Medium 3.5 (High)8.3#357 (Mistral Medium 3.5)
13Mistral Large 33.3#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-base-harness-paired-success · How It Works · Data refreshed daily, snapshot 2026-10-21.