janus 4B (Icarus AI / cmxu, Qwen3.5-4B + LoRA r64 and pointer decision head)
Data: JevBench v1.6.1, published 2026-10-06
Capability 62.9 · rank #28 of 92 on the open-weights board
Last measured: 2026-10-04 · measurement release: v1.6.1
apache-2.0
intelligence
37.6
calibration
88.1
speed
93.2
cost
64.4
Composite (secondary)
35.2 · Composite rank #40
Cost and measurement conditions
$0.015 per 1,000 decisions (estimated)
add-requests run 47 (v1.5 basis, unpublished) base-model price floor deepinfra:Qwen/Qwen3.5-4B
Measured p50 latency: 0.030 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: 0.21 s (est. incl. network (2x + 150 ms))
Self-hosted model: measured p50 0.030 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 = 0.21 s. Model authors can ask us to time a hosted endpoint instead (on request).
x2 + 0.15 s (assumption, not measured)
Current frozen 1500-item pool measured 2026-10-04 by coordinator plan P83 on one evaluator-owned Lium RTX PRO6000. Offline contributor image, serial loopback-only requests, no batching or retry; standard selfhosted x2+0.15 s latency adjustment. Current stage receipt verifies the same model pin used by the prior add-request run. Cost is the carried documented estimate recorded in current registry.