SimpleJev Qwen3.6-35B-A3Bv1.7 · 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 68.3 · API offering, ranked on the API leaderboard · outside the Jev-class caps (cost 4.5× Jev (v1.5 reference); latency 2.1× Jev (v1.5 reference)), below the Capability ranking

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

Apache-2.0 (Qwen weights); repository licence not stated

Base model: undisclosedsource

intelligence

56.3

calibration

80.3

speed

76.1

cost

35.1

Composite (secondary)

27.5 · Composite rank #35 of 48 on the API leaderboard

Cost and measurement conditions

$0.145 per 1,000 decisions (estimated)

v1.5.4 published cost per 1,000 decisions carried (pricing rules unchanged; v1.6 item lengths differ): ESTIMATE: exact base-model market reference (operator tariff excluded by 30-day rule)

p50 latency: 1.3 s

x2 (demo)

Measured latency over 600 decisions: p50 0.652 s · p95 0.943 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 68.29 · Composite 27.57 · rank #106 on the all-systems board · #33 API

intelligence 56.29 · calibration 80.30 · speed 76.70 · cost 35.15

v1.6 speed basis (124 items): p50 0.625 s · p95 0.855 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
choice73.460.9
noul55.540.6
score51.540.3

Capability by subject topic

Rules, policy & law39.5n=1133
Coding & software65.5n=202
Math & numbers8.8n=269
Finance & commerce43.7n=178
Support & operations51.3n=109
Everyday language76.9n=130
Safety & security56.2n=84

Use cases (TypeSafe categories)

Model routing68.0n=267
Legal & compliance44.1n=269
Customer support45.2n=156
E-commerce40.4n=88
Insurance claims24.3n=92
Risk assessment38.5n=88
Financial crime13.7n=76
Feature extraction19.9n=90
Lead generation57.1n=86
Recruiting17.1n=88
Knowledge graphs25.8n=82
LLM guardrails72.1n=82
Moderation73.4n=69
Code linting45.3n=81
Search & retrieval85.3n=84
Science16.1n=82
Advertising34.6n=85
Gaming21.7n=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 68.3 · composite 27.5 · cost $0.145 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