PetriBench - Medium: leaderboard

Exact-match accuracy on PetriBench's Medium tier, generated by increasing the structural complexity of the Petri nets behind the Easy questions. Reasoning effort is part of the row identity. Higher is better. Source: arxiv.org/abs/2609.19883.

Metric: Exact-Match Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 36 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol (xHigh)90.9#22 (GPT-5.6 Sol)
2Claude Opus 5 (xHigh)83.8#16 (Claude Opus 5)
3Claude Opus 5 (High)81.9#16 (Claude Opus 5)
4GPT-5.6 Sol (High)81.4#22 (GPT-5.6 Sol)
5Grok 4.6 (xHigh)80.9#29 (Grok 4.6)
6Grok 4.6 (High)76.5#29 (Grok 4.6)
7Grok 4.6 (Medium)75.7#29 (Grok 4.6)
8Gemini 3.8 Flash (High)74.5#30 (Gemini 3.8 Flash)
9Claude Opus 5 (Medium)70#16 (Claude Opus 5)
10Gemini 3.1 Pro (Preview) (High)69.9#64 (Gemini 3.1 Pro (Preview))
11Grok 4.5 (High)67.2#54 (Grok 4.5)
12Grok 4.5 (Medium)65#54 (Grok 4.5)
13GPT-5.6 Terra (xHigh)64.4#40 (GPT-5.6 Terra)
14Gemini 3.8 Flash (Medium)58.7#30 (Gemini 3.8 Flash)
15GPT-5.6 Sol (Medium)52.5#22 (GPT-5.6 Sol)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=petribench-medium · How It Works · Data refreshed daily, snapshot 2026-11-05.