CLM-8B (Contrastive-LM, clm-latest)
Data: JevBench v1.6.1, published 2026-10-06
Capability 20.1 · rank #87 of 92 on the open-weights board
Last measured: 2026-10-02 · measurement release: v1.6.1
Apache-2.0 (code and CLM-v0.1-8B head); Qwen3-8B encoder Apache-2.0
intelligence
0.1
calibration
40.0
speed
92.6
cost
50.5
Composite (secondary)
0.0 · Composite rank #124
Cost and measurement conditions
$0.045 per 1,000 decisions (estimated)
v1.5.4 published cost per 1,000 decisions carried (pricing rules unchanged; v1.6 item lengths differ): price floor: base-model reference price applied
Measured p50 latency: 0.021 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: 0.19 s (est. incl. network (2x + 150 ms))
Self-hosted model: measured p50 0.021 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 = 0.19 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 (RTXPRO6000), offline read-only container