JevBench results

Summary

System-level aggregate results of JevBench, Benchmark Heaven's open benchmark for Jev-class decision models. Each row is one evaluated system with its four axis scores (Intelligence, Calibration, Speed, Cost), the headline JevBench Capability Score (arithmetic mean of Intelligence and Calibration, ranked only within the official cost and median-latency caps) and the secondary Composite score. Data: JevBench v1.6.0, generated 2026-10-05.

data/leaderboard.json carries the full public feed as published at https://benchmarkheaven.com/api/jevbench/latest.

What is measured

• Intelligence — chance-corrected accuracy on the frozen public and sealed tiers.
• Calibration — distribution quality of the typed answers a system produces.
• Speed — median (p50) latency on a logarithmic scale; self-hosted runs carry a published adjustment.
• Cost — USD per 1,000 complete decisions; price_kind labels the evidence basis (estimate is an estimate, not a measured charge).
• Capability score / rank — the headline; rank is present only for systems inside the official caps.
• Composite score / rank — secondary ranking, Intelligence/Calibration/Speed/Cost weighted 25% each.

Columns

Column	Description
revision	JevBench release this row belongs to.
key	Stable machine key of the system.
name	Published system name.
source_url	Published source or weights link.
listing	ranked (in the ranking) or listed (shown, not ranked).
capability_rank	Capability rank; empty when the system is outside the official caps.
capability_score	Mean of Intelligence and Calibration (0–100).
capability_eligible	true when inside both official caps.
composite_rank	Composite rank (empty when not ranked).
composite_score	Composite score (0–100).
intelligence, calibration, speed, cost_axis	The four axis scores (0–100).
usd_per_1000_decisions	Modeled cost per 1,000 complete decisions.
price_kind	Evidence basis for the cost, e.g. estimate.
p50_latency_s_raw	Measured raw median latency in seconds (before any published adjustment).

How to cite

@misc{benchmarkheaven2026jevbench,
  title         = {JevBench: A Benchmark for Jev-class Decision Models},
  author        = {{Benchmark Heaven}},
  year          = {2026},
  howpublished  = {\url{https://benchmarkheaven.com/jev-models}},
  note          = {JevBench v1.6.0; regenerated at every JevBench release}
}

Links

• Live JevBench board
• Jev alternatives, compared
• How to choose a Jev-class model
• Is Jev open source?
• Public results API
• Submit a system
• Method repository

Update cadence

Regenerated at every JevBench release.

Limitations

Aggregates only: no item-level data (no questions, item ids or predictions). Sealed items are never published. Cost values are modeled per the stated basis and are not invoices; latency adjustments for self-hosted runs are published assumptions, not measurements.