JevalKit - DecisionIndex_Text: leaderboard

JevalKit - DecisionIndex_Text. Native {"schema_version": 1, "name": "DecisionIndex_Text", "media_root": ".", "protocol": "official-public-text-0.4.1", "suite_dir": "../raw/DecisionIndex-0.3", "records": 140178, "questions": 312320, "sha256": "9cc55d90b70b0aeca387abffed2957d740a11246be6dc480dfd41e0cc9b7368f", "family": "DecisionIndex", "modality": "text", "module": "decision_index_text", "edition": "0.4.1", "source_url": "https://github.com/apolinario/decision-index"}. 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: Public Decision Index (0-100). Higher is better.

Metric: Public Decision Index (0-100). Source: huggingface.co. Saturation forecast: Rough model projection: around 2026. 26 models tracked.

Top models

#ModelScoreOverall rank
1Valen-Decision-1.5-27B74.66
2StartLux-Decision-27B-Instant72.88
3vLLM-SR-d3-turbo71.62
4Valen-Decision-1.5-9B70.61
5StartLux-v1.1-9B-Instant69.98
6WeMM-JEV69.37
7Valen-Decision-1.5-4B69.01
8StartLux-v1.1-4B-Instant67.81
9Amos-1-Large64.94
10Valen-Decision-1.5-2B61.89

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