RYOTIDE-Qwen9
Data: JevBench v1.6.40, published 2026-10-22
Capability 53.5 · rank #87 of 139 on the open-weights board
Last measured: 2026-10-10 · measurement release: v1.6.4
MIT engine on Apache-2.0 weights
intelligence
28.7
calibration
78.3
speed
86.7
cost
49.4
Composite (secondary)
16.1 · Composite rank #114
Cost and measurement conditions
$0.049 per 1,000 decisions (estimated)
Estimated exact base-model public reference: Qwen/Qwen3.5-9B Darkbloom $0.08/M input and $0.13/M output, captured 2026-10-09. Provider fp4 differs from local RYOTIDE unquantized BF16; reference tariff is not measured hosting cost. Source: https://openrouter.ai/api/v1/models/qwen/qwen3.5-9b/endpoints.
Measured p50 latency: 0.132 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: 0.41 s (est. incl. network (2x + 150 ms))
Self-hosted model: measured p50 0.132 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 = 0.41 s. Model authors can ask us to time a hosted endpoint instead (on request).
x2 + 0.15 s (assumption, not measured)
Setup not stated