Liquid: Liquid d1

System One decision model for typed classification, routing, and scoring over shared state

Model lab: Liquid
Model family: liquid

Modalitiestext → text

Context window65,536

Maximum output—

InputUSD 0.016 / 1M tokens

Cached inputUSD 0.016 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to liquid/d1.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "liquid/d1"

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.

Liquid d1 API Pricing

Type	Price information
Input	USD 0.016 / 1M tokens
Cached input	USD 0.016 / 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 throughput13.9 requests/minCurrent

Queue wait0.9 sCurrent

Completion time6.0 sCurrent

Request throughput

Current13.9 requests/min

Window average14.8 requests/min

Queue wait

Current0.9 s

Window average0.9 s

Completion time

Current6.0 s

Window average6.0 s

Tail completion time (P99)

Current12.8 s

Window average13.8 s

Retry rate

Current0.9%

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

Liquid d1 Compare models

Model	Input price	Output price	Context window	Capabilities
Liquid d1This page	USD 0.016 / 1M tokens	Not billed on output	65,536	Specialized model
Jev 1.14	USD 0.0336 / 1M tokens · Context ≤ 32000 tokens	Not billed on output	64,000	Specialized model
Drex 2.0	USD 0.048 / 1M tokens	Not billed on output	131,072	Specialized model
Drex 1.5	USD 0.032 / 1M tokens · Context ≤ 131072 tokens	Not billed on output	139,264	Specialized model
Jev	USD 0.0336 / 1M tokens	Not billed on output	64,000	Specialized model

Model specifications

Input: text
Output: text
Context window: 65,536
Maximum output: —
Release date: 2026-09-29
Attachments: No
Reasoning: No
Tool calling: No
Structured output: Yes
Open weights: No

Frequently asked questions

What is Liquid d1 for?

System One decision model for typed classification, routing, and scoring over shared state

What inputs and outputs does Liquid d1 support?

Recorded inputs: text; outputs: text.

How is Liquid d1 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.016 / 1M tokens; Cached input USD 0.016 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Liquid d1?

Current model records list Context window 65,536 tokens.

What model parameter does the Quickstart use?

The example uses liquid/d1. 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.