Open Jev JSON Canvas (JoshuaSP)

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

Capability 30.6 · rank #84 of 92 on the open-weights board

Last measured: 2026-10-02 · measurement release: v1.6.1

MIT code; Apache-2.0 DiffusionGemma weights

Base model: google/diffusiongemma-26B-A4B-itsource

intelligence

61.2

calibration

0.0

speed

85.5

cost

49.3

Composite (secondary)

0.0 · Composite rank #128

Cost and measurement conditions

$0.049 per 1,000 decisions (estimated)

v1.5.4 published cost per 1,000 decisions carried (pricing rules unchanged; v1.6 item lengths differ): documented hosted-model estimate; no exact base-model floor applies

Measured p50 latency: 0.148 s (on-GPU, no network, loopback; not directly comparable with API latency, which we time end to end from our measuring host, network included)

Ranking and cap use: 0.45 s (est. incl. network (2x + 150 ms))

Self-hosted model: measured p50 0.148 s on-GPU, no network (timed on our GPU over loopback). Not directly comparable with API latency, which we time end to end from our measuring host, network included. The ranking and latency cap use the same estimate for every self-hosted row: 2 × measured + 150 ms = 0.45 s. Model authors can ask us to time a hosted endpoint instead (on request).

x2 + 0.15 s (assumption, not measured)

evaluator-owned Lium GPU pod (H100), offline read-only container

Published source