ChaosBench-Logic: leaderboard

ChaosBench-Logic evaluates language models on logical and symbolic reasoning about chaotic dynamical systems using text questions over a first-order-logic ontology. The pinned metric is accuracy, reported as percent correct on the source result table. The benchmark also defines additional logical-consistency measures, but this entry is pinned to accuracy. Source: BenchmarkList’s attributed result table.

Metric: Acc (%). Source: benchmarklist.com. Saturation forecast: Estimated already saturated. 6 models tracked.

Top models

#ModelScoreOverall rank
1GPT-494#459
2Gemini 2.5 Flash91.9#255
3Claude 3.5 Sonnet91.6#362
4Llama 3 70B91.6#632

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

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