torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)

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

Capability 81.6 · Not ranked in the current release

cost 6.5× Jev (v1.5 reference)

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

cc-by-nc-4.0

Base model: startlux-models/StartLux-Decision-27Bsource 1 source 2 · Direct base is StartLux-Decision-27B (startlux-models, CC-BY-NC-4.0), itself a modified Alibaba Qwen model; its card does not name the Qwen version. Qwen3.8-27B is inferred from the identical text_config.

intelligence

71.8

calibration

91.4

speed

87.7

cost

30.3

Composite (secondary)

21.3 · Composite rank #35

Cost and measurement conditions

$0.210 per 1,000 decisions (estimated)

ESTIMATE (base-model reference; self-hosted open weights, no public tariff): frozen BASE_REFERENCES Qwen/Qwen3.8-27B market price, the pair the published autojev-27b, eikos-27b and open-jev-zefan-27b-v1.1 rows use, USD 0.42 per 1M input and USD 3.0 per 1M output x this row's own measured tokens. Estimated, not charged

p50 latency: 0.3 s

x2 + 0.15 s (assumption, not measured)

evaluator-owned Lium GPU pod, 1x NVIDIA H100 80GB, 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