torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout)

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

Capability 71.7 · rank #5 of 64

Last measured: 2026-10-04 · measurement release: v1.6.1

cc-by-nc-4.0

Base model: google/gemma-4-12B-itsource

intelligence

60.5

calibration

82.9

speed

91.7

cost

56.4

Composite (secondary)

69.9 · Composite rank #5

Cost and measurement conditions

$0.028 per 1,000 decisions (estimated)

v1.5.8 fast-lane delivery row (combined v1.5.8 preview, not yet published) cost per 1,000 decisions carried (pricing rules unchanged; v1.6 item lengths differ): ESTIMATE (v1.5-M2 base-model reference; no public tariff, customer asked for the base-model reference): OpenRouter google/gemma-3-12b-it list price $0.05/M input, $0.15/M output (gemma-4-12b-it is not listed on OpenRouter, read 2026-10-04; same reference as the Cygnet and Jev-Omni Gemma-4-12B rows) x the shim's own measured usage.prompt_tokens/completion_tokens; self-hosted on 1x H100 80GB (Lium), vLLM 0.30.0 BF16; estimated, not charged

p50 latency: 0.2 s

x2 + 0.15 s (assumption, not measured)

evaluator-owned Lium GPU pod, 1x NVIDIA H100 80GB, weights fetched in a separate model-only container, scored run inside docker --network none (loopback only, no secrets, label-free inputs); pod destroyed afterwards; paid public fast-lane evaluation, 4 Oct 2026 (order b113eac1)

Published source