Image JevBench v0.3.0 · individual system

djev-distill-v4 (tarsur385)

distilled · 26B-A4BBase model: google/diffusiongemma-26B-A4B-itsource

Published source

local/GPU evaluation

Image JevBench v0.3.0 composite score

3.616

Rank #32 of 44 ranked systems.

From the published full-benchmark aggregate. The composite combines intelligence, calibration, speed and cost.

Published axes

intelligence
18.8
calibration
61.7
speed
82.9
cost
41.1

Cost and speed evidence

Cost per 1,000 decisions
USD 0.071760
Cost basis
measured GPU seconds x $1.19/GPU-hour
Measured latency · p50 / p95
0.228 s / 0.350 s
Adjusted latency · p50 / p95
0.606 s / 0.851 s
Latency adjustment
v1.4 local latency adjustment
Public accuracy
44.7%
Sealed accuracy
45.6%

Published 2026-10-06. Scores and ranks can change in a later release. See the method notes.