GPT-6 Luna (low reasoning effort)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 97.1 · API offering, ranked on the API leaderboard · outside the Jev-class caps (cost 3.3× Jev (v1.5 reference); latency 3.1× 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.

proprietary API

Base model: undisclosed

intelligence

95.7

calibration

98.5

speed

71.8

cost

39.0

Composite (secondary)

40.4 · Composite rank #30 of 48 on the API leaderboard

Cost and measurement conditions

$0.108 per 1,000 decisions (public tariff)

measured: token usage of the 6 Oct 2026 A4 u P run x tariff USD 0.1/M input, 0.5/M output (spec gpt-6-luna-low.json), per 1,000 decisions on the v1.6.1 common cost basis (591 of 600 items; the 9 A4 u P items outside the Jev reference's accepted input range are excluded, cost-basis-a4.json)

p50 latency: 1.9 s

none (API)

Measured latency over 600 decisions: p50 1.896 s · p95 3.465 s

3 decisions over 10 s (3 of them answered without error, counted as wrong).

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 97.82 · Composite 40.48 · rank #81 on the all-systems board · #28 API

intelligence 96.62 · calibration 99.02 · speed 71.66 · cost 38.98

v1.6 speed basis (124 items): p50 1.854 s · p95 3.683 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
choice97.0100.0
noul96.392.2
score85.987.1

Capability by subject topic

Rules, policy & law97.7n=1133
Coding & software89.0n=202
Math & numbers91.9n=269
Finance & commerce95.7n=178
Support & operations99.7n=109
Everyday language97.5n=130
Safety & security99.9n=84

Use cases (TypeSafe categories)

Model routing91.8n=267
Legal & compliance98.0n=269
Customer support100.0n=156
E-commerce96.6n=88
Insurance claims93.2n=92
Risk assessment95.8n=88
Financial crime98.2n=76
Feature extraction97.8n=90
Lead generation97.6n=86
Recruiting100.0n=88
Knowledge graphs97.3n=82
LLM guardrails94.0n=82
Moderation97.0n=69
Code linting95.3n=81
Search & retrieval99.7n=84
Science95.7n=82
Advertising94.9n=85
Gaming93.8n=79
Demand forecasting100.0n=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 97.1 · composite 40.4 · cost $0.108 per 1,000 decisions (public list price)

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

Published source