Gemini 3.1 Flash-Litev1.7 · 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 59.8 · API offering, ranked on the API leaderboard · outside the Jev-class caps (cost 7.1× 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

58.6

calibration

60.9

speed

79.0

cost

29.2

Composite (secondary)

16.9 · Composite rank #39 of 48 on the API leaderboard

Cost and measurement conditions

$0.230 per 1,000 decisions (public tariff)

measured: token usage of the 6 Oct 2026 A4 u P run x tariff USD 0.25/M input, 1.5/M output (spec gemini-3.1-flash-lite.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: 1.0 s

none (API)

Measured latency over 600 decisions: p50 0.962 s · p95 1.317 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 59.75 · Composite 16.94 · rank #148 on the all-systems board · #37 API

intelligence 58.57 · calibration 60.93 · speed 79.03 · cost 29.17

v1.6 speed basis (124 items): p50 0.957 s · p95 1.306 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
choice70.966.1
noul63.056.3
score57.721.9

Capability by subject topic

Rules, policy & law53.5n=1133
Coding & software69.9n=202
Math & numbers23.9n=269
Finance & commerce59.3n=178
Support & operations69.8n=109
Everyday language84.8n=130
Safety & security68.7n=84

Use cases (TypeSafe categories)

Model routing73.8n=267
Legal & compliance58.9n=269
Customer support62.3n=156
E-commerce41.3n=88
Insurance claims39.1n=92
Risk assessment63.9n=88
Financial crime33.8n=76
Feature extraction44.6n=90
Lead generation66.7n=86
Recruiting42.8n=88
Knowledge graphs44.3n=82
LLM guardrails61.6n=82
Moderation75.0n=69
Code linting61.2n=81
Search & retrieval82.0n=84
Science34.1n=82
Advertising44.4n=85
Gaming35.7n=79
Demand forecasting4.4n=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 59.8 · composite 16.9 · cost $0.230 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