Quyet-1.0-Small (Chinh Nguyen, SEA-LION-ModernBERT-300M encoder with fixed heads)

Data: JevBench v1.6.1, published 2026-10-06

Capability 32.5 · rank #56 of 64

Last measured: 2026-10-04 · measurement release: v1.6.1

apache-2.0

Base model: aisingapore/SEA-LION-ModernBERT-300Msource

intelligence

4.0

calibration

61.0

speed

94.9

cost

79.6

Composite (secondary)

0.1 · Composite rank #80

Cost and measurement conditions

$0.0048 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 same-size encoders (bge-large, e5-large, Qwen3-Embedding-0.6B) $0.01/M input (SEA-LION-ModernBERT-300M has no market listing; the ModernBERT-large-class reference of the Laya/Certo/OpenDecision rows) 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)

Published source