Moduck

Nace Ai: Drex 1.5

System One decision model for typed, calibrated probabilistic answers over text or structured state

Model lab
Nace Ai
Model family
—
Modalitiestext → text
Context window139,264
Maximum output—
Input · Context ≤ 131072 tokensUSD 0.032 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to nace-ai/drex-v1.5.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "nace-ai/drex-v1.5"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Drex 1.5 API Pricing

TypePrice information
Input · Context ≤ 131072 tokensUSD 0.032 / 1M tokens

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Request throughput15.8 requests/minCurrent
Queue wait0.9 sCurrent
Completion time5.6 sCurrent
Request throughput
Current15.8 requests/min
Window average15.0 requests/min
Queue wait
Current0.9 s
Window average0.9 s
Completion time
Current5.6 s
Window average6.0 s
Tail completion time (P99)
Current13.0 s
Window average13.8 s
Retry rate
Current1.5%
Window average1.0%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Drex 1.5 Compare models

ModelInput priceOutput priceContext windowCapabilities
Drex 1.5This pageUSD 0.032 / 1M tokens · Context ≤ 131072 tokensNot billed on output139,264Specialized model
Drex 2.0USD 0.048 / 1M tokensNot billed on output131,072Specialized model
Jev 1.14USD 0.0336 / 1M tokens · Context ≤ 32000 tokensNot billed on output64,000Specialized model
Liquid d1USD 0.016 / 1M tokensNot billed on output65,536Specialized model
JevUSD 0.0336 / 1M tokensNot billed on output64,000Specialized model

Model specifications

Input
text
Output
text
Context window
139,264
Maximum output
—
Release date
2026-09-28
Attachments
No
Reasoning
No
Tool calling
No
Structured output
Yes
Temperature setting
No
Open weights
Yes

Frequently asked questions

What is Drex 1.5 for?

System One decision model for typed, calibrated probabilistic answers over text or structured state

What inputs and outputs does Drex 1.5 support?

Recorded inputs: text; outputs: text.

How is Drex 1.5 priced?

The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 131072 tokens USD 0.032 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Drex 1.5?

Current model records list Context window 139,264 tokens.

What model parameter does the Quickstart use?

The example uses nace-ai/drex-v1.5. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.