decider chat on Gemma-4-31B-it (Mapika, frozen base, inference technique)

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

Capability 70.6 · rank #16 of 92 on the open-weights board

Last measured: 2026-10-06 · measurement release: v1.6.1

apache-2.0

Base model: google/gemma-4-31B-itsource

intelligence

58.5

calibration

82.6

speed

85.8

cost

50.8

Composite (secondary)

66.1 · Composite rank #15

Cost and measurement conditions

$0.044 per 1,000 decisions (estimated)

ESTIMATE (base-model reference; self-hosted open weights, no public tariff): OpenRouter google/gemma-4-31b-it, the reference of the published deck31b and quyet-1-0-large rows, USD 0.09 per 1M input and USD 0.34 per 1M output x this row's own measured tokens. Estimated, not charged

Measured p50 latency: 0.126 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: 0.40 s (est. incl. network (2x + 150 ms))

Self-hosted model: measured p50 0.126 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 = 0.40 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, 1x NVIDIA RTX PRO 6000 Blackwell 96GB, the author's own server in its own pinned environment, offline (Hub offline mode, all credentials unset), driven over loopback only by the JevBench client with its loopback guard; label-free inputs; pod destroyed afterwards; HF Jev Decision Index intake, 6-7 Oct 2026

Published source