Nace.ai claims its open-source Drex 1.5 9B model tops the JevBench 0.3.1 leaderboard and achieves the lowest latency on OpenRouter among sub-9B decision models, potentially establishing it as the reference routing model for agent orchestration.

state: seedheat: lowuncertainty: mediumconvergesscott: highdecision-models jev-benchmark open-weight-models agent-routingNace.ai

What is this?

Nace.ai (a company with a public site at nace.ai and GitHub org nace-ai) released Drex 1.5, a 9B-parameter open-weight 'decision model' that scores options rather than generating text. Nace self-reports 58.08 on the public Decision Index 0.3.1 leaderboard, placing it top among models under 10B parameters, with weights on Hugging Face and a hosted API on OpenRouter at $0.04/M input / $0/M output, 128K context, and ~136ms latency. However, the margin over Jev (57.96) and Bespoke Nimble 9B v3 (57.19) falls within the leaderboard's 0.9-point tie band; Jev's parameter count is unpublished, so the 'sub-9B' claim is unverified; and the benchmark run is self-reported by Nace with no independent replication yet.

Why it matters to Scott

Nace.ai's Drex 1.5 independently arrives at the exact architectural pattern Scott has built and argued for: a sub-10B open-weight decision model (scored options, single forward pass) dual-distributed via Hugging Face weights and OpenRouter hosted API, positioned as the cheap front-door router for agent orchestration. This converges on Scott's TypeSafe jev (production decision model serving as 'stage manager' and 'per-message mail front door'), his model-sovereignty thesis (open weights + hosted API, zero output pricing), and his local-inference economics work (Ollama, LiteLLM, cost-tiered routing). The case also directly tests Scott's benchmark-reliability framework: the claim rests on a self-reported JevBench run with a 0.12-point margin inside a 0.9-point tie band, unverified parameter counts for the runner-up, and no independent replication — precisely the evidence gap his Carry-Forward Test, trace-backed comparison, and review-until-clear loop are designed to expose.

ip:framework.12-factor-agents-frameworkip:framework.ai-carry-forward-testip:framework.agent-addressabilityip:framework.agent-native-computingdev:technology.typesafe-jevdev:project.jevdev:concept.task-aware-model-routingdev:concept.deterministic-agent-control-planedev:technology.openrouterdev:technology.ollamadev:concept.cheap-model-front-doorradar:aa-agentperf-local-benchmarkradar:500-dollar-9b-rl-catalog-reviewradar:adaptive-kv-cache-streamingradar:adaptive-speculative-decoding-300-gpuradar:agent-memory-add-search-evaluation

queries asked of Scott's wikis

open-weights strategy for small specialist models (routing, classification, policy)
decision-model vs generative-model architectures for agent orchestration
benchmark reliability: self-reported leaderboards, tie bands, independent replication
local inference economics: sub-10B models, latency/price tradeoffs, OpenRouter as distribution
agent routing patterns: scored options, single-forward-pass decisions, diffusion+RLAF architectures
model sovereignty: open weights + hosted API dual distribution, zero output token pricing

Measured heat

now 0 pts/hpeak 12 pts/hcomments 0/hpeers p29momentum: steady2 platformsage 75h

points/hour across evidence · reading as of 2026-10-12 02:59:37.977291+11:00 · deterministic, not a model opinion

How the heat travelled

10-08 13:00	⭐ origin echo-reconstructed	The open-source release itself (repo created 2026-10-09T18:30:00Z, description: "Open Drex decision models: runtime, docs and model pages"). Nace.AI on github (echo) · attributed from reddit.post.1x3872d	—
10-11 13:26	first on r/LocalLLaMA · published · +72.4h	nace-ai open-sourced drex1.5 9B , best sub 9B decision model on jev-bench 0.3.1 and lowest latency on OpenRouter DotaMate	—
10-11 13:26	amplified on r/LocalLLaMA 👑	reddit.post.1x3872d DotaMate	peak 2 · 0 comments · 96% of case engagement
10-11 13:32	our radar first saw it · +72.5h	discovery anchor: reddit.post.1x3872d	—

Evidence (2) — ⭐ canonical anchor

source	object	author	score	comments
🟠 reddit	nace-ai open-sourced drex1.5 9B , best sub 9B decision model on jev-bench 0.3.1 and lowest latency on OpenRouter LocalLLaMA	DotaMate	2	0
🟧 echo.github ⭐	The open-source release itself (repo created 2026-10-09T18:30:00Z, description: "Open Drex decision models: runtime, docs and model pages").	Nace.AI	—	—

Interpretation history

2026-10-11T14:07:12Z
origin walked (opencode/cheap-glm, conf 0.78): anchor reddit.post.1x3872d -> echo.github.a2a67ca73f by Nace.AI
2026-10-11T14:00:10Z
grounded: converges/high — Nace.ai's Drex 1.5 independently arrives at the exact architectural pattern Scott has built and argued for: a sub-10B open-weight decision model (scored options
2026-10-11T13:41:02Z
case created — Single Reddit observation of Nace.ai's Drex 1.5 9B release claiming JevBench 0.3.1 SOTA and lowest OpenRouter latency; no first-party confirmation or independent replication yet.

Decision trace

10-12 01:11attention_routeHigh relevance to Scott's decision-model routing, benchmark-reliability, and local-inference economics work, but claims rest on a single self-reported Reddit observation with tight margins and no
10-12 01:07attention_candidatecreate
10-12 01:07promote_anchororigin walk conf 0.78
10-12 01:00groundNace.ai's Drex 1.5 independently arrives at the exact architectural pattern Scott has built and argued for: a sub-10B open-weight decision model (scored options, single forward pass) dual-distrib
10-12 00:41createSingle Reddit observation of Nace.ai's Drex 1.5 9B release claiming JevBench 0.3.1 SOTA and lowest OpenRouter latency; no first-party confirmation or independent replication yet.