Gemini 3.6 Flash
Google · Text · Context 1M · max output 65.5K tokens
gemini-3.6-flash
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Pricing
| MarkasAI | Vendor list price | |
|---|---|---|
| Input | Rp 11.684 | Rp 13.418 |
| Output | Rp 58.416 | Rp 67.088 |
| Cache | Rp 1.169 | |
| Cache write | Rp 11.684 |
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
gemini-3.6-flash- Provider
- Type
- Text
- Endpoint
POST /v1/chat/completions- Context window
- 1,000,000 tokens
- Output limit per request
- 65,536 tokens
About this model
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
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": "gemini-3.6-flash",
"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="gemini-3.6-flash",
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: "gemini-3.6-flash",
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