d1 (Liquid AI)

Data: JevBench v1.6.39, published 2026-10-22

Capability 74.4 · API offering, ranked on the API leaderboard · Capability rank #3 of 14 within the Jev-class caps

Measured 2026-10-06 on the full v1.6.1 set (1500 items), scored like the other full-set API rows, not equated.

proprietary hosted API

Base model: undisclosed

intelligence

62.1

calibration

86.8

speed

89.2

cost

62.8

Composite (secondary)

73.0 · Composite rank #2 of 27 on the API leaderboard

Cost and measurement conditions

$0.017 per 1,000 decisions (public tariff)

Liquid AI d1 public API tariff USD 0.04 per 1M input tokens, no output tokens (Vercel AI Gateway listing https://vercel.com/ai-gateway/models/d1, read 6 Oct 2026; equals Liquid API usage.cost); measured on the v1.6.1 common cost basis from this run's token usage

p50 latency: 0.3 s

none (API)

Breakdowns (not part of the score)

Chance-corrected competence (0 = chance, 100 = perfect) on the full set (1500 items). Raw values, not equated. Category cells use S+P+L1+L2+L3; per-type/tier cells use the original basis above. Radars against Jev.

Request typeOpenSealed
choice75.571.2
noul61.446.4
score57.760.2

Capability by subject topic

Rules, policy & law53.5n=1616
Coding & software64.2n=382
Math & numbers11.2n=370
Finance & commerce42.9n=223
Support & operations52.2n=160
Everyday language77.2n=145
Safety & security57.0n=109

Use cases (TypeSafe categories)

Model routing67.5n=524
Legal & compliance71.2n=515
Customer support56.5n=240
E-commerce50.3n=119
Insurance claims37.9n=119
Risk assessment39.6n=118
Financial crime26.9n=101
Feature extraction28.0n=99
Lead generation58.4n=95
Recruiting18.6n=94
Knowledge graphs39.3n=94
LLM guardrails74.1n=93
Moderation61.5n=93
Code linting39.3n=90
Search & retrieval78.9n=90
Science30.9n=90
Advertising38.2n=88
Gaming0.0n=86
Demand forecasting0.0n=83

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 74.4 · composite 73.0 · cost $0.017 per 1,000 decisions (not published)

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

Published source