JevalKit - DecisionBench: leaderboard

JevalKit - DecisionBench. Native {"schema_version": 1, "name": "DecisionBench", "media_root": ".", "protocol": "standard-eval-systemone-native-v1", "reference_normalization": "sum-normalized only within 0.001 of one; original sum retained", "tie_break": "first upstream candidate; explicit mapping retained per question", "records": 23900, "questions": 23900, "sha256": "c99000b66862ef3781aa65f1d4edf267c605a519e619b9975a1509de428fefec", "family": "DecisionBench", "modality": "text", "module": "decision_bench", "source_url": "https://huggingface.co/datasets/Hanno-Labs/decision-bench"}. Complete, input-conformant, eligible primary runs with no runtime failures; text/vision Public Decision Index0-100, all other boards native accuracy fractions converted to percent. Calibration metrics retained separately; private composite components not represented as public. Metric: Accuracy (%). Higher is better.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Rough model projection: around 2026. 34 models tracked.

Top models

#ModelScoreOverall rank
1Valen-Decision-1.5-27B84.13
2Valen-Decision-1.5-9B83.34
3Valen-Decision-1.5-4B83.33
4StartLux-Decision-27B-Instant83.04
5WeMM-JEV82.47
6StartLux-v1.1-9B-Instant81.92
7Valen-Decision-1.5-2B81.9
8StartLux-v1.1-4B-Instant81.12
9vLLM-SR-d3-turbo80.73
10Valen-Decision-1.5-0.8B79.79

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