GPT 4.1 Nano

OpenAI · Text · Context 1.05M

gpt-4.1-nano Try

Prompt caching
1M+ context
1% below list price

Pricing

Per 1 million tokens
	MarkasAI	Vendor list price
Input	Rp 1.771	Rp 1.789
Output	Rp 7.079	Rp 7.156
Cache	Rp 444
Cache write	Rp 1.771

MarkasAI sale prices in Rupiah, read from the same catalog as GET /v1/models. Prices can change and apply to later requests.

Specifications

Model ID: gpt-4.1-nano
Provider: OpenAI
Type: Text
Endpoint: POST /v1/chat/completions
Context window: 1,047,576 tokens
Output limit per request: Not recorded yet

About this model

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

Quoted from the provider's public catalog, in English.

Call example

curl https://api.markas.ai.id/v1/chat/completions \
  -H "Authorization: Bearer $MARKASAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4.1-nano",
    "messages": [{"role": "user", "content": "What is an API?"}],
    "max_tokens": 300
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.markas.ai.id/v1", api_key=os.environ["MARKASAI_API_KEY"])

resp = client.chat.completions.create(
    model="gpt-4.1-nano",
    messages=[{"role": "user", "content": "What is an API?"}],
    max_tokens=300,
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.markas.ai.id/v1", apiKey: process.env.MARKASAI_API_KEY });

const resp = await client.chat.completions.create({
  model: "gpt-4.1-nano",
  messages: [{ role: "user", content: "What is an API?" }],
  max_tokens: 300,
});
console.log(resp.choices[0].message.content);

Keep your API key in the MARKASAI_API_KEY environment variable. Read the endpoint docs

All models