nace-ai
Nace.AI: Drex v2.0
nace-ai/drex-v2.0
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, nace-ai/drex-v2.0 is a 35B-parameter mixture-of-experts decision model from Nace.AI with 3B active parameters, described as the larger successor to Drex v1.5. It takes text input (a state expressed as text or JSON plus typed questions such as yes/no or multiple choice) and returns structured decisions, with a catalog-listed 131,072-token context window. No independent model card was available in this source pack, and no benchmark or measured-performance data was included, so all capabilities are source-reported and should be validated on real workloads.[1]
Strengths
- The OpenRouter catalog reports a 35B mixture-of-experts design that activates only 3B parameters per call, which may keep inference costs modest relative to total model size.[1]
- A catalog-listed 131,072-token context window could accommodate large text inputs.[1]
- Per the catalog description, it outputs typed decisions from text or JSON states paired with structured question types, which may simplify integration into decision pipelines.[1]
Limitations
- Evidence is catalog-only: no independent model card was available in this source pack, and the listing includes no benchmark or measured-performance results, so real-world quality requires workload validation.[1]
- The catalog lists no reasoning mode, an empty supported-parameters set, text-only input, and null values for knowledge cutoff and licensing details, leaving those aspects unknown rather than absent.[1]
Where to use it
- Potentially suited to classification, routing, or triage-style tasks where a problem can be framed as a text/JSON state with typed questions, pending evaluation on the target workflow.[1]
- Its structured decision output may fit automation pipelines that need machine-readable answers, subject to accuracy and latency testing.[1]
Sources
- [1] OpenRouter catalog · Nace.AI: Drex v2.0Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI, the larger successor to [Drex v1.5](https://openrouter.ai/nace-ai/drex-v1.5). Given a state (text or JSON) and typed questions (yes/no, multiple choice,...
Specifications
- Model ID
- nace-ai/drex-v2.0
- Canonical ID
- nace-ai/drex-v2.0-20261009
- Creator
- nace-ai
- Added to OpenRouter
- 12.10.2026
- Context length
- 131,072
- Modality
- text->decisions
- Input modalities
- text
- Output modalities
- decisions
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| DeepInfra | 131,072 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.