system-one-open (Gemma 4 E2B LoRA on an L4)v1.7 · 10 s rule

Data: JevBench v1.8.7, published 2026-11-03 · method v1.7 (10 s rule), re-scored from the recorded per-decision times

Capability 51.9 · API offering, ranked on the API leaderboard · Capability rank #30 of 33 within the Jev-class caps

Measured 2026-10-06 on A4 ∪ P, 600 items, equated (+2.57 I / +3.35 C); round score-a4-2.

MIT (repository LICENSE; Gemma weights keep Google’s terms)

Base model: Gemma 4 E2Bsource

intelligence

27.9

calibration

75.9

speed

79.2

cost

68.3

Composite (secondary)

16.4 · Composite rank #40 of 48 on the API leaderboard

Cost and measurement conditions

$0.011 per 1,000 decisions (estimated)

v1.5.4 published cost per 1,000 decisions carried (pricing rules unchanged; v1.6 item lengths differ): ESTIMATE: v1.5 measured-input proxy; no exact base-model floor applies

p50 latency: 1.0 s

x2 (demo)

Measured latency over 600 decisions: p50 0.514 s · p95 0.587 s

0 decisions over 10 s.

A decision that takes longer than 10 seconds (measured time) counts as a wrong answer and as zero calibration for that item: each type's calibration is multiplied by the share of its decisions answered within 10 s. The limit uses the measured time (raw). The displayed adjusted time for self-hosted rows (2 × + 0.15 s) is an assumption and is not used for the limit.

JevBench v1.6.43 values (method v1.6, before the 10 s rule)

Capability 51.94 · Composite 16.39 · rank #152 on the all-systems board · #38 API

intelligence 27.94 · calibration 75.94 · speed 79.32 · cost 68.33

v1.6 speed basis (124 items): p50 0.510 s · p95 0.573 s

These figures are kept for comparison. The current figures above are re-scored under the 10 s rule from the recorded per-decision times and replace them.

Breakdowns (not part of the score)

Chance-corrected competence (0 = chance, 100 = perfect) on A4 ∪ P (600 items: 300 open + 300 sealed; fewer sealed items than the full set, so wider uncertainty). Raw values, not equated. Category cells use A4+P+L1+L2+L3; per-type/tier cells use the original basis above. Radars against Jev.

Request typeOpenSealed
choice56.847.8
noul3.89.8
score23.110.9

Capability by subject topic

Rules, policy & law8.0n=1133
Coding & software25.8n=202
Math & numbers0.0n=269
Finance & commerce13.1n=178
Support & operations24.7n=109
Everyday language48.3n=130
Safety & security0.0n=84

Use cases (TypeSafe categories)

Model routing43.6n=267
Legal & compliance26.5n=269
Customer support15.4n=156
E-commerce8.8n=88
Insurance claims0.0n=92
Risk assessment7.0n=88
Financial crime0.0n=76
Feature extraction0.0n=90
Lead generation26.2n=86
Recruiting1.1n=88
Knowledge graphs2.1n=82
LLM guardrails22.6n=82
Moderation0.0n=69
Code linting0.0n=81
Search & retrieval9.8n=84
Science0.0n=82
Advertising0.0n=85
Gaming4.4n=79
Demand forecasting0.0n=72

Cells need at least 15 answered items; † fewer than 30 (indicative only, listed below the radar in the compare view).

Previous measurement (v1.5.x, not comparable)

Capability 51.9 · composite 16.4 · cost $0.011 per 1,000 decisions (estimated)

Last measured 2026-10-06, measurement release v1.6.1. Older method and scale; the current figures above replace it.

Published source