Quyet-1.0-Small-EN (Chinh Nguyen, ModernBERT-base encoder with fixed heads)
Data: JevBench v1.6.1, published 2026-10-06
Capability 39.5 · rank #48 of 64
Last measured: 2026-10-04 · measurement release: v1.6.1
apache-2.0
intelligence
6.1
calibration
73.0
speed
94.9
cost
89.1
Composite (secondary)
0.3 · Composite rank #72
Cost and measurement conditions
$0.0023 per 1,000 decisions (estimated)
v1.5.8 fast-lane delivery row (combined v1.5.8 preview, not yet published) cost per 1,000 decisions carried (pricing rules unchanged; v1.6 item lengths differ): ESTIMATE (v1.5-M2 base-model reference; self-hosted open weights, no public tariff): DeepInfra base-size encoders (bge-base, e5-base, gte-base, all-mpnet-base) $0.005/M input (ModernBERT-base has no market listing; base-size encoder reference) x the package's own measured usage.input_tokens; one forward pass, nothing generated; run in process on 1x H100 80GB (Lium), quyet 1.0.0; estimated, not charged
p50 latency: 0.2 s
x2 + 0.15 s (assumption, not measured)
evaluator-owned Lium GPU pod, 1x NVIDIA H100 80GB, weights fetched in a separate model-only container, scored run inside docker --network none (loopback only, no secrets, label-free inputs); pod destroyed afterwards; paid public fast-lane evaluation, 4 Oct 2026 (order 3643732b)