Phocinae: Phocinae Largha 150M v1

Encoder decision model that answers typed questions (noul, choice, score) over text with calibrated probabilities, on CPU and GPU

Model lab: Phocinae
Model family: —

Model resources

Model card Hugging Face

Modalitiestext → text

Context window8,192

Maximum output—

Try now

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to phocinae/phocinae-largha-150m-v1.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "phocinae/phocinae-largha-150m-v1"

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.

Phocinae Largha 150M v1 API Pricing

Price currently unavailable

Performance

Performance trends

Request throughput14.2 requests/minCurrent

Queue wait0.9 sCurrent

Completion time6.0 sCurrent

Request throughput

Current14.2 requests/min

Window average15.0 requests/min

Queue wait

Current0.9 s

Window average0.9 s

Completion time

Current6.0 s

Window average6.0 s

Tail completion time (P99)

Current13.6 s

Window average13.9 s

Retry rate

Current1.0%

Window average1.1%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Phocinae Largha 150M v1 Compare models

Model	Input price	Output price	Context window	Capabilities
Phocinae Largha 150M v1This page	Price currently unavailable	Price currently unavailable	8,192	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
Liquid d1	USD 0.016 / 1M tokens	Not billed on output	65,536	Specialized model
Drex 1.5	USD 0.032 / 1M tokens · Context ≤ 131072 tokens	Not billed on output	139,264	Specialized model

Model specifications

Input: text
Output: text
Context window: 8,192
Maximum output: —
Release date: 2026-10-08
Attachments: No
Reasoning: No
Tool calling: No
Structured output: Yes
Temperature setting: No
Open weights: Yes

Frequently asked questions

What is Phocinae Largha 150M v1 for?

Encoder decision model that answers typed questions (noul, choice, score) over text with calibrated probabilities, on CPU and GPU

What inputs and outputs does Phocinae Largha 150M v1 support?

Recorded inputs: text; outputs: text.

How is Phocinae Largha 150M v1 priced?

This page does not list a price for this model yet.

What specifications are recorded for Phocinae Largha 150M v1?

Current model records list Context window 8,192 tokens.

What model parameter does the Quickstart use?

The example uses phocinae/phocinae-largha-150m-v1. 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.