Aisingapore: Gemma-SEA-LION-v4-27B-IT

Gemma 3 27B tuned by AI Singapore for Southeast Asian languages and instruction following

Model lab: Aisingapore
Model family: gemma

Model resources

Hugging Face

Modalitiestext → text

Context window128,000

Maximum output128,000

InputUSD 0.192 / 1M tokens

OutputUSD 0.384 / 1M tokens

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 aisingapore/gemma-sea-lion-v4-27b-it.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "aisingapore/gemma-sea-lion-v4-27b-it"

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.

Gemma-SEA-LION-v4-27B-IT API Pricing

Type	Price information
Input	USD 0.192 / 1M tokens
Output	USD 0.384 / 1M tokens

Performance

Performance trends

Throughput93.4 tok/sCurrent

Time to first token1.3 sCurrent

End-to-end latency7.8 sCurrent

Throughput

Current93.4 tok/s

Window average89.5 tok/s

Time to first token

Current1.3 s

Window average1.4 s

End-to-end latency

Current7.8 s

Window average7.5 s

Tail latency (P99)

Current14.1 s

Window average17.1 s

Prompt cache hit rate

Current19.3%

Window average24.5%

Error rate

Current0.0%

Window average0.2%

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

Gemma-SEA-LION-v4-27B-IT Compare models

Model	Input price	Output price	Context window	Capabilities
Gemma-SEA-LION-v4-27B-ITThis page	USD 0.192 / 1M tokens	USD 0.384 / 1M tokens	128,000	Text output
Beam 1.0 501B A23B	USD 0.2 / 1M tokens	USD 0.8 / 1M tokens	1,048,576	Text output · Reasoning · Tool calling
Ling 3.1 Flash	USD 0.06 / 1M tokens	USD 0.176 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Schematron V2 Small	USD 0.04 / 1M tokens	USD 0.184 / 1M tokens	128,000	Text output
Schematron V2 Turbo	USD 0.024 / 1M tokens	USD 0.12 / 1M tokens	128,000	Text output

Model specifications

Input: text
Output: text
Context window: 128,000
Maximum output: 128,000
Release date: 2025-09-23
Attachments: No
Reasoning: No
Tool calling: No
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Gemma-SEA-LION-v4-27B-IT for?

Gemma 3 27B tuned by AI Singapore for Southeast Asian languages and instruction following

What inputs and outputs does Gemma-SEA-LION-v4-27B-IT support?

Recorded inputs: text; outputs: text.

How is Gemma-SEA-LION-v4-27B-IT priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.192 / 1M tokens; Output USD 0.384 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Gemma-SEA-LION-v4-27B-IT?

Current model records list Context window 128,000 tokens; Maximum output 128,000 tokens.

What model parameter does the Quickstart use?

The example uses aisingapore/gemma-sea-lion-v4-27b-it. 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.