Liquid AI d1-omni-600M
Data: JevBench v1.6.39, published 2026-10-22
Capability 32.8 · rank #125 of 139 on the open-weights board
Last measured: 2026-10-10 · measurement release: v1.6.5
LFM Open License v1.0 (commercial use only below USD 10 M annual revenue)
intelligence
3.3
calibration
62.3
speed
94.1
cost
73.1
Composite (secondary)
0.0 · Composite rank #181
Cost and measurement conditions
$0.0079 per 1,000 decisions (estimated)
ESTIMATE (*est.), size-class reference; self-hosted open weights, no bookable listing for this base. The declared text base LiquidAI/LFM2.5-Encoder-350M is not a key of any frozen pricing table. Method as above: deepinfra:Qwen/Qwen3.5-0.8B at USD 0.01 per 1M input and USD 0.05 per 1M output - the class above this 600M model - applied to its own measured usage, 1,182,027 input tokens and 0 output tokens over 1,500 decisions. The frozen base-size ENCODER rate (0.005, 0.0), which the published tacet-sonata and lev-350m rows carry, would give 0.00394009 and was deliberately NOT used: it prices a text-only encoder, while d1-omni also runs SigLIP2 vision and FastConformer audio towers, so the class above is the conservative choice and keeps the two Liquid rows on one method.
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 RTX A6000 48 GB pod (United States), offline after setup (egress cut and proven), author's custom code at the pinned commit via trust_remote_code from the sha256-verified local copy, float16, states cut on the right at 16,384 tokens by the model code