# Drex 2.0

Decision models · checked 2026-11-07 · https://dbggr.dev/models/drex-v2-0/

Open-weight 35B mixture-of-experts decision model (about 3B active) on Qwen3.6-35B-A3B

Drex 2.0 is an open-weight decision model from Nace.AI (Nace.AI Open RAIL-M: organisations above $1M in revenue or funding need a separate commercial licence (personal and research use excepted), as do competitors of Nace; bars fully automated decisions with significant effects on people without human review, 35B total, about 3B active per token parameters): it answers typed questions, such as yes or no, pick one or pick several, with probabilities instead of writing text. It costs $0.06 per million input tokens (Nace Console API), and output is free. JevBench, the main independent benchmark, doesn't list it yet.

- Made by: Nace.AI
- Weights: Open, Nace.AI Open RAIL-M: organisations above $1M in revenue or funding need a separate commercial licence (personal and research use excepted), as do competitors of Nace; bars fully automated decisions with significant effects on people without human review
- Size: 35B total, about 3B active per token
- Where: Nace Console API (the default model and drex-latest), OpenRouter (served by DeepInfra)
- Images: No, text only
- Context: 131,072 state tokens hosted (262,144 with the longest question); self-hosted default 16,384, raisable to 131,072
- Fine-tuning: Tuning on your labelled decisions on request from Nace, with the weights shipped to you; open weights
- Docs: https://huggingface.co/nace-ai/drex-v2.0

## Drex 2.0 price

US dollars per million input tokens. Decision models don't write text, so none of the hosted ones charge for output.

| Where | Input | Output | Notes | Checked |
|---|---|---|---|---|
| Nace Console API (the default model and drex-latest), OpenRouter (served by DeepInfra) | $0.06 | Free | Output is free. The same price on OpenRouter. Released 6 October 2026. A Q8_0 GGUF (36.9 GB) runs with Nace's forks of llama.cpp and Ollama. | [2026-11-07](https://console.nace.ai/docs/drex/reference/models) |

## Drex 2.0 speed

| Measure | Result | Reported by |
|---|---|---|
| Reported speed | 151 ms median API time per decision, network included | Nace.AI |

Measured by the maker on its own hardware; JevBench doesn't list this model yet.

## Decision models like Drex 2.0

| Model | Input / M | JevBench | Weights |
|---|---|---|---|
| Drex 2.0 | $0.06 | – | Open |
| [Mammoth-1](https://dbggr.dev/models/mammoth-1/) | $0.10 | 85.2 | Open |
| [Drex Max v1.1](https://dbggr.dev/models/drex-max-v1-1/) | $0.03 | 84.2 | Closed |
| [Perplexity Decider V1.2](https://dbggr.dev/models/pplx-decider-v1-2/) | $0.02 | 80.8 | Open |
| [d1-ultra](https://dbggr.dev/models/d1-ultra/) | $0.042 | 80.5 | Closed |
| [Kev-27B](https://dbggr.dev/models/kev-27b/) | Self-host | 78.9 | Open |
| [Clef](https://dbggr.dev/models/clef/) | $0.24 | 75.3 | Open |
| [Jev 1.14](https://dbggr.dev/models/jev/) | $0.042 | 75.0 | Closed |
| [d1](https://dbggr.dev/models/d1/) | $0.02 | 74.4 | Closed |
| [Mercury Decide](https://dbggr.dev/models/mercury-decide/) | $0.02 | 73.6 | Closed |
| [OpenAI Decisions (GPT-6 Luna)](https://dbggr.dev/models/openai-decisions/) | $0.10 | 73.5 | Closed |
| [Microsoft-Decision-1](https://dbggr.dev/models/microsoft-decision-1/) | $0.042 | 70.8 | Closed |
| [Elephant-1](https://dbggr.dev/models/elephant-1/) | $0.035 | 70.2 | Open |
| [Strands Decider 26B-A4B](https://dbggr.dev/models/strands-decider-26b-a4b/) | Self-host | 66.7 | Open |
| [Clef-flash](https://dbggr.dev/models/clef-flash/) | $0.038 | 63.8 | Open |
| [Perplexity Decider Flash V1.2](https://dbggr.dev/models/pplx-decider-flash-v1-2/) | $0.01 | 61.7 | Open |
| [Kev-9B](https://dbggr.dev/models/kev-9b/) | Self-host | 61.5 | Open |
| [Clef-omni](https://dbggr.dev/models/clef-omni/) | $0.15 | 58.3 | Open |
| [Joey-1](https://dbggr.dev/models/joey-1/) | $0.01 | 57.8 | Open |
| [d1-3B](https://dbggr.dev/models/d1-3b/) | Self-host | 49.5 | Open |
| [d1-omni-600M (experimental)](https://dbggr.dev/models/d1-omni-600m/) | Self-host | 32.8 | Open |
| [Laya](https://dbggr.dev/models/laya/) | $0.011 | 32.5 | Open |
| [CLM-8B](https://dbggr.dev/models/clm-8b/) | Self-host | 20.1 | Open |
| [Clairic](https://dbggr.dev/models/clairic/) | $0.10 | – | Closed |
| [d1-2B](https://dbggr.dev/models/d1-2b/) | Self-host | – | Open |
| [d1-omni-2B](https://dbggr.dev/models/d1-omni-2b/) | Self-host | – | Open |
| [Drex 1.5](https://dbggr.dev/models/drex-v1-5/) | $0.05 | – | Open |
| [Kev-0.8B](https://dbggr.dev/models/kev-0-8b/) | Self-host | – | Open |
| [Kev-4B](https://dbggr.dev/models/kev-4b/) | Self-host | – | Open |
| [Koa Decisions](https://dbggr.dev/models/koa-decisions/) | Self-host | – | Closed |
| [Strands Decider 12B](https://dbggr.dev/models/strands-decider-12b/) | Self-host | – | Open |
| [Strands Decider 2B](https://dbggr.dev/models/strands-decider-2b/) | Self-host | – | Open |
| [Strands Decider E2B](https://dbggr.dev/models/strands-decider-e2b/) | Self-host | – | Open |
| [Strands Decider E4B](https://dbggr.dev/models/strands-decider-e4b/) | Self-host | – | Open |

## FAQ

### How much does Drex 2.0 cost?

Drex 2.0 costs $0.06 per million input tokens at Nace Console API (the default model and drex-latest), OpenRouter (served by DeepInfra). Output is free. The same price on OpenRouter. Released 6 October 2026. A Q8_0 GGUF (36.9 GB) runs with Nace's forks of llama.cpp and Ollama. Checked 7 November 2026.

### Is Drex 2.0 open weight?

Yes. Nace.AI publishes the weights under Nace.AI Open RAIL-M: organisations above $1M in revenue or funding need a separate commercial licence (personal and research use excepted), as do competitors of Nace; bars fully automated decisions with significant effects on people without human review, so you can run and fine-tune it yourself.

### How fast is Drex 2.0?

Nace.AI reports 151 ms median API time per decision, network included, measured on its own hardware.

### How does Drex 2.0 compare with Jev?

JevBench doesn't list Drex 2.0 yet, so there's no independent comparison. Jev costs $0.042 per million input tokens; Drex 2.0 costs $0.06.