Gemma 3 12B IT
Google · Teks · Konteks 128K · output maks 8.2K token
gemma-3-12b-it
Coba
Harga
| MarkasAI | Harga list vendor | |
|---|---|---|
| Input | Rp 767 | Rp 895 |
| Output | Rp 2.299 | Rp 2.684 |
| Cache | Rp 767 | |
| Tulis cache | Rp 767 |
Harga jual MarkasAI dalam Rupiah, dibaca dari katalog yang sama dengan GET /v1/models. Harga dapat berubah dan berlaku untuk permintaan berikutnya.
Spesifikasi
- ID model
gemma-3-12b-it- Provider
- Jenis
- Teks
- Endpoint
POST /v1/chat/completions- Jendela konteks
- 128.000 token
- Batas output per permintaan
- 8.192 token
Tentang model ini
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Kutipan dari katalog publik penyedia, dalam bahasa Inggris.
Contoh pemanggilan
curl https://api.markas.ai.id/v1/chat/completions \
-H "Authorization: Bearer $MARKASAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemma-3-12b-it",
"messages": [{"role": "user", "content": "Apa itu 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="gemma-3-12b-it",
messages=[{"role": "user", "content": "Apa itu 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: "gemma-3-12b-it",
messages: [{ role: "user", content: "Apa itu API?" }],
max_tokens: 300,
});
console.log(resp.choices[0].message.content);
Simpan API key di variabel lingkungan MARKASAI_API_KEY. Baca dokumentasi endpoint