Model Google dan Partner serta fitur AI generatif di Gemini Enterprise Agent Platform diekspos sebagai endpoint regional tertentu dan endpoint global. Endpoint global mencakup seluruh dunia dan memberikan ketersediaan dan keandalan yang lebih tinggi daripada region tunggal.
Menentukan endpoint
Untuk endpoint regional standar (seperti us-central) dan endpoint global:
Python
# google-cloud-aiplatform >= 1.79.0 is required
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project='GOOGLE_CLOUD_PROJECT', location='GOOGLE_CLOUD_LOCATION')Python
client = genai.Client(
enterprise=True,
project='GOOGLE_CLOUD_PROJECT',
location='GOOGLE_CLOUD_LOCATION'
)REST
GOOGLE_CLOUD_PROJECT="GOOGLE_CLOUD_PROJECT"
GOOGLE_CLOUD_LOCATION="GOOGLE_CLOUD_LOCATION"
MODEL_ID="MODEL_ID"
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
"https://${GOOGLE_CLOUD_LOCATION}$-aiplatform.googleapis.com/v1/projects/${GOOGLE_CLOUD_PROJECT}/locations/${GOOGLE_CLOUD_LOCATION}/publishers/google/models/${MODEL_ID}:generateContent" \
-d '{
"contents": {
"role": "user",
"parts": {
"text": "Explain how AI works in a few words."
}
}
}'Endpoint multi-region
Endpoint multi-region memungkinkan Anda memastikan bahwa pemrosesan machine learning Data Pelanggan oleh layanan tetap berada dalam batas yurisdiksi tertentu, seperti Amerika Serikat atau Uni Eropa.
Tabel berikut mencantumkan nama host untuk endpoint multi-region:
| Multi-region | Lokasi | Hostname |
|---|---|---|
| Amerika Serikat | us |
https://aiplatform.us.rep.googleapis.com |
| Uni Eropa | eu |
https://aiplatform.eu.rep.googleapis.com |
Python
import vertexai
from google.adk.agents import Agent
# Set the multi-region location on the client
client = vertexai.Client(
project='GOOGLE_CLOUD_PROJECT',
location='GOOGLE_CLOUD_LOCATION'
)
# The agent will use this configuration
agent = Agent(
model="gemini-2.5-flash",
name='my_agent'
)Python
from google import genai
# location must be set to 'us' or 'eu' for multi-region routing
client = genai.Client(
enterprise=True,
project='GOOGLE_CLOUD_PROJECT',
location='GOOGLE_CLOUD_LOCATION'
)REST
GOOGLE_CLOUD_PROJECT="GOOGLE_CLOUD_PROJECT"
MODEL_ID="MODEL_ID"
GOOGLE_CLOUD_LOCATION="GOOGLE_CLOUD_LOCATION" # Must be 'us' or 'eu'
# Explicitly use the .rep. hostname for multi-region endpoints
API_ENDPOINT="https://aiplatform.${GOOGLE_CLOUD_LOCATION}.rep.googleapis.com"
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
"${API_ENDPOINT}/v1/projects/${GOOGLE_CLOUD_PROJECT}/locations/${GOOGLE_CLOUD_LOCATION}/publishers/google/models/${MODEL_ID}:generateContent" \
-d '{
"contents": {
"role": "user",
"parts": {
"text": "Explain how AI works in a few words"
}
}
}'Endpoint global
Memilih endpoint global untuk permintaan Anda dapat meningkatkan ketersediaan secara keseluruhan sekaligus mengurangi error kehabisan resource (429). Jangan gunakan endpoint global jika Anda memiliki persyaratan pemrosesan ML, karena Anda tidak dapat mengontrol atau mengetahui region tempat permintaan pemrosesan ML Anda dikirim saat permintaan dibuat.
Model yang didukung
Penggunaan endpoint global didukung untuk model Google berikut di wilayah tertentu. Untuk mengetahui detail tentang model mana yang mendukung endpoint global, lihat tab Global di tabel lokasi endpoint model Google.
- Gemini 3.5 Flash
- Gemini 3.1 Flash-Lite
- Gambar Flash Gemini 3.1 (Pratinjau)
- Gemini 3.1 Pro (Pratinjau)
- Gemini 3 Flash (Pratinjau)
- Gambar Gemini 3 Pro (Pratinjau)
- Gemini 2.5 Pro
- Gemini 2.5 Flash (Pratinjau)
- Gemini 2.5 Flash-Lite (Pratinjau)
- Gambar Gemini 2.5 Flash
- Gemini 2.5 Flash
- Gemini 2.5 Flash-Lite
Untuk mengetahui informasi tentang ketersediaan endpoint global untuk model partner, lihat tab Global di Google Cloud tabel lokasi endpoint model partner.
Batasan
Kemampuan berikut tidak tersedia saat menggunakan endpoint global:
- Penyesuaian
- Prediksi batch untuk model Anthropic dan OpenMaaS
- Korpus retrieval-augmented generation (RAG) (permintaan RAG didukung)
Penggunaan endpoint global dengan Throughput yang Disediakan hanya tersedia untuk model berikut:
Klik untuk melihat model yang didukung untuk endpoint global saat menggunakan Throughput yang Disediakan
| Model | Versi model terbaru yang didukung |
|---|---|
| Gemini 3.5 Flash | gemini-3.5-flash |
| Gemini 3.1 Flash-Lite | gemini-3.1-flash-lite |
| Gambar Gemini 3.1 Flash pratinjau | gemini-3.1-flash-image-preview |
| Gemini 3.1 Pro pratinjau | gemini-3.1-pro-preview |
| Kilasan Gemini 3 pratinjau | gemini-3-flash-preview |
| Gambar Gemini 3 Pro pratinjau | gemini-3-pro-image-preview |
| Gemini 2.5 Pro | gemini-2.5-pro |
| Gemini 2.5 Flash pratinjau | gemini-2.5-flash-preview-09-2025 |
| Gemini 2.5 Flash-Lite pratinjau | gemini-2.5-flash-lite-preview-09-2025 |
| Gambar Gemini 2.5 Flash | gemini-2.5-flash-image |
| Gemini 2.5 Flash | gemini-2.5-flash |
| Gemini 2.5 Flash-Lite | gemini-2.5-flash-lite |
Lokasi endpoint model Google
Model Google di Platform Agen Gemini Enterprise tersedia untuk endpoint berikut:
Global
| Global(global) | |
|---|---|
| Model Gemini | |
Gemini 3.5 Flash
(gemini-3.5-flash)
|
|
Gemini 3.1 Flash-Lite
(gemini-3.1-flash-lite)
|
|
Gambar Gemini 3.1 Flash
pratinjau
(gemini-3.1-flash-image-preview)
|
|
Gemini 3.1 Pro
pratinjau
(gemini-3.1-pro-preview)
|
|
Gemini 3 Flash
pratinjau
(gemini-3-flash-preview)
|
|
Gambar Gemini 3 Pro
pratinjau
(gemini-3-pro-image-preview)
|
|
Gemini 2.5 Pro
(gemini-2.5-pro)
|
|
Gemini 2.5 Flash
pratinjau
(gemini-2.5-flash-preview-09-2025)
|
|
Gemini 2.5 Flash-Lite
pratinjau
(gemini-2.5-flash-lite-preview-09-2025)
|
|
Gambar Gemini 2.5 Flash
(gemini-2.5-flash-image)
|
|
Gemini 2.5 Flash
(gemini-2.5-flash)
|
|
Gemini 2.5 Flash-Lite
(gemini-2.5-flash-lite)
|
|
Gemini 2.5 Flash dengan audio bawaan Gemini Live API
(gemini-live-2.5-flash-native-audio)
|
|
Gemini 2.0 Flash dengan Gemini Live API
Pratinjau
(gemini-2.0-flash-live-preview-04-09)
|
|
| Model embedding | |
Gemini Embedding 2
(gemini-embedding-2)
|
|
Embedding Gemini
(gemini-embedding-001)
|
|
| Embeddings for Text | |
| Embedding untuk Multimodal | |
| Model Veo di Platform Agen Gemini Enterprise | |
Veo 2 Generate
(veo-2.0-generate-001)
|
|
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-exp)
|
|
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-preview)
|
|
Veo 3 Generate
preview
(veo-3.0-generate-preview)
|
|
Veo 3 Generate
preview
(veo-3.0-fast-generate-preview)
|
|
Veo 3 Generate
(veo-3.0-generate-001)
|
|
Veo 3 Fast Generate
(veo-3.0-fast-generate-001)
|
|
Veo 3.1 Generate
pratinjau
(veo-3.1-generate-preview)
|
|
Veo 3.1 Fast Generate
pratinjau
(veo-3.1-fast-generate-preview)
|
|
Veo 3.1 Generate
(veo-3.1-generate-001)
|
|
Veo 3.1 Fast Generate
(veo-3.1-fast-generate-001)
|
|
Pembuatan Veo 3.1 Lite
pratinjau
(veo-3.1-lite-generate-001)
|
|
| Model Speech-to-Text dan Text-to-Speech | |
Chirp 3: Transkripsi
(chirp_3)
|
|
| Chirp 3: Suara HD | |
| Chirp 3: Suara Kustom Instan | |
Chirp 2: Transkripsi
(chirp_2)
|
|
Gemini 2.5 Pro TTS
(gemini-2.5-pro-tts)
|
|
Gemini 2.5 Flash TTS
(gemini-2.5-flash-tts)
|
|
Gemini 2.5 Flash Lite Preview TTS
pratinjau
(gemini-2.5-flash-lite-preview-tts)
|
|
Multi-region
| Multi-region Amerika Serikat(us) | Multi-region Uni Eropa(eu) | |
|---|---|---|
| Model Gemini | ||
Gemini 3.5 Flash
(gemini-3.5-flash)
|
||
Gemini 3.1 Flash-Lite
(gemini-3.1-flash-lite)
|
||
Gambar Gemini 3.1 Flash
pratinjau
(gemini-3.1-flash-image-preview)
|
||
Gemini 3.1 Pro
pratinjau
(gemini-3.1-pro-preview)
|
||
Gemini 3 Flash
pratinjau
(gemini-3-flash-preview)
|
||
Gambar Gemini 3 Pro
pratinjau
(gemini-3-pro-image-preview)
|
||
Gemini 2.5 Pro
(gemini-2.5-pro)
|
||
Gemini 2.5 Flash
pratinjau
(gemini-2.5-flash-preview-09-2025)
|
||
Gemini 2.5 Flash-Lite
pratinjau
(gemini-2.5-flash-lite-preview-09-2025)
|
||
Gambar Gemini 2.5 Flash
(gemini-2.5-flash-image)
|
||
Gemini 2.5 Flash
(gemini-2.5-flash)
|
||
Gemini 2.5 Flash-Lite
(gemini-2.5-flash-lite)
|
||
Gemini 2.5 Flash dengan audio bawaan Gemini Live API
(gemini-live-2.5-flash-native-audio)
|
||
Gemini 2.0 Flash dengan Gemini Live API
Pratinjau
(gemini-2.0-flash-live-preview-04-09)
|
||
| Model embedding | ||
Gemini Embedding 2
(gemini-embedding-2)
|
||
Embedding Gemini
(gemini-embedding-001)
|
||
| Embeddings for Text | ||
| Embedding untuk Multimodal | ||
| Model Veo di Platform Agen Gemini Enterprise | ||
Veo 2 Generate
(veo-2.0-generate-001)
|
||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-exp)
|
||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-preview)
|
||
Veo 3 Generate
preview
(veo-3.0-generate-preview)
|
||
Veo 3 Generate
preview
(veo-3.0-fast-generate-preview)
|
||
Veo 3 Generate
(veo-3.0-generate-001)
|
||
Veo 3 Fast Generate
(veo-3.0-fast-generate-001)
|
||
Veo 3.1 Generate
pratinjau
(veo-3.1-generate-preview)
|
||
Veo 3.1 Fast Generate
pratinjau
(veo-3.1-fast-generate-preview)
|
||
Veo 3.1 Generate
(veo-3.1-generate-001)
|
||
Veo 3.1 Fast Generate
(veo-3.1-fast-generate-001)
|
||
Pembuatan Veo 3.1 Lite
pratinjau
(veo-3.1-lite-generate-001)
|
||
| Model Speech-to-Text dan Text-to-Speech | ||
Chirp 3: Transkripsi
(chirp_3)
|
||
| Chirp 3: Suara HD | ||
| Chirp 3: Suara Kustom Instan | ||
Chirp 2: Transkripsi
(chirp_2)
|
||
Gemini 2.5 Pro TTS
(gemini-2.5-pro-tts)
|
||
Gemini 2.5 Flash TTS
(gemini-2.5-flash-tts)
|
||
Gemini 2.5 Flash Lite Preview TTS
pratinjau
(gemini-2.5-flash-lite-preview-tts)
|
||
Amerika Serikat
| Oregon(us-west1) | Las Vegas(us-west4) | Iowa(us-central1) | South Carolina(us-east1) | Virginia Virginia(us-east4) | Columbus(us-east5) | Dallas(us-south1) | |
|---|---|---|---|---|---|---|---|
| Model Gemini | |||||||
Gemini 3.5 Flash
(gemini-3.5-flash)
|
|||||||
Gemini 3.1 Flash-Lite
(gemini-3.1-flash-lite)
|
|||||||
Gambar Gemini 3.1 Flash
pratinjau
(gemini-3.1-flash-image-preview)
|
|||||||
Gemini 3.1 Pro
pratinjau
(gemini-3.1-pro-preview)
|
|||||||
Gemini 3 Flash
pratinjau
(gemini-3-flash-preview)
|
|||||||
Gambar Gemini 3 Pro
pratinjau
(gemini-3-pro-image-preview)
|
|||||||
Gemini 2.5 Pro
(gemini-2.5-pro)
|
|||||||
Gemini 2.5 Flash
pratinjau
(gemini-2.5-flash-preview-09-2025)
|
|||||||
Gemini 2.5 Flash-Lite
pratinjau
(gemini-2.5-flash-lite-preview-09-2025)
|
|||||||
Gambar Gemini 2.5 Flash
(gemini-2.5-flash-image)
|
|||||||
Gemini 2.5 Flash
(gemini-2.5-flash)
|
|||||||
Gemini 2.5 Flash-Lite
(gemini-2.5-flash-lite)
|
|||||||
Gemini 2.5 Flash dengan audio bawaan Gemini Live API
(gemini-live-2.5-flash-native-audio)
|
|||||||
Gemini 2.0 Flash dengan Gemini Live API
Pratinjau
(gemini-2.0-flash-live-preview-04-09)
|
|||||||
| Model embedding | |||||||
Gemini Embedding 2
(gemini-embedding-2)
|
|||||||
Embedding Gemini
(gemini-embedding-001)
|
|||||||
| Embeddings for Text | |||||||
| Embedding untuk Multimodal | |||||||
| Model Veo di Platform Agen Gemini Enterprise | |||||||
Veo 2 Generate
(veo-2.0-generate-001)
|
|||||||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-exp)
|
|||||||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-preview)
|
|||||||
Veo 3 Generate
preview
(veo-3.0-generate-preview)
|
|||||||
Veo 3 Generate
preview
(veo-3.0-fast-generate-preview)
|
|||||||
Veo 3 Generate
(veo-3.0-generate-001)
|
|||||||
Veo 3 Fast Generate
(veo-3.0-fast-generate-001)
|
|||||||
Veo 3.1 Generate
pratinjau
(veo-3.1-generate-preview)
|
|||||||
Veo 3.1 Fast Generate
pratinjau
(veo-3.1-fast-generate-preview)
|
|||||||
Veo 3.1 Generate
(veo-3.1-generate-001)
|
|||||||
Veo 3.1 Fast Generate
(veo-3.1-fast-generate-001)
|
|||||||
Pembuatan Veo 3.1 Lite
pratinjau
(veo-3.1-lite-generate-001)
|
|||||||
| Model Speech-to-Text dan Text-to-Speech | |||||||
Chirp 3: Transkripsi
(chirp_3)
|
|||||||
| Chirp 3: Suara HD | |||||||
| Chirp 3: Suara Kustom Instan | |||||||
Chirp 2: Transkripsi
(chirp_2)
|
|||||||
Gemini 2.5 Pro TTS
(gemini-2.5-pro-tts)
|
|||||||
Gemini 2.5 Flash TTS
(gemini-2.5-flash-tts)
|
|||||||
Gemini 2.5 Flash Lite Preview TTS
pratinjau
(gemini-2.5-flash-lite-preview-tts)
|
|||||||
Amerika
| Montréal(northamerica-northeast1) | São Paulo(southamerica-east1) | |
|---|---|---|
| Model Gemini | ||
Gemini 3.5 Flash
(gemini-3.5-flash)
|
||
Gemini 3.1 Flash-Lite
(gemini-3.1-flash-lite)
|
||
Gambar Gemini 3.1 Flash
pratinjau
(gemini-3.1-flash-image-preview)
|
||
Gemini 3.1 Pro
pratinjau
(gemini-3.1-pro-preview)
|
||
Gemini 3 Flash
pratinjau
(gemini-3-flash-preview)
|
||
Gambar Gemini 3 Pro
pratinjau
(gemini-3-pro-image-preview)
|
||
Gemini 2.5 Pro
(gemini-2.5-pro)
|
||
Gemini 2.5 Flash
pratinjau
(gemini-2.5-flash-preview-09-2025)
|
||
Gemini 2.5 Flash-Lite
pratinjau
(gemini-2.5-flash-lite-preview-09-2025)
|
||
Gambar Gemini 2.5 Flash
(gemini-2.5-flash-image)
|
||
Gemini 2.5 Flash
(gemini-2.5-flash)
|
||
Gemini 2.5 Flash-Lite
(gemini-2.5-flash-lite)
|
||
Gemini 2.5 Flash dengan audio bawaan Gemini Live API
(gemini-live-2.5-flash-native-audio)
|
||
Gemini 2.0 Flash dengan Gemini Live API
Pratinjau
(gemini-2.0-flash-live-preview-04-09)
|
||
| Model embedding | ||
Gemini Embedding 2
(gemini-embedding-2)
|
||
Embedding Gemini
(gemini-embedding-001)
|
||
| Embeddings for Text | ||
| Embedding untuk Multimodal | ||
| Model Veo di Platform Agen Gemini Enterprise | ||
Veo 2 Generate
(veo-2.0-generate-001)
|
||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-exp)
|
||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-preview)
|
||
Veo 3 Generate
preview
(veo-3.0-generate-preview)
|
||
Veo 3 Generate
preview
(veo-3.0-fast-generate-preview)
|
||
Veo 3 Generate
(veo-3.0-generate-001)
|
||
Veo 3 Fast Generate
(veo-3.0-fast-generate-001)
|
||
Veo 3.1 Generate
pratinjau
(veo-3.1-generate-preview)
|
||
Veo 3.1 Fast Generate
pratinjau
(veo-3.1-fast-generate-preview)
|
||
Veo 3.1 Generate
(veo-3.1-generate-001)
|
||
Veo 3.1 Fast Generate
(veo-3.1-fast-generate-001)
|
||
Pembuatan Veo 3.1 Lite
pratinjau
(veo-3.1-lite-generate-001)
|
||
| Model Speech-to-Text dan Text-to-Speech | ||
Chirp 3: Transkripsi
(chirp_3)
|
||
| Chirp 3: Suara HD | ||
| Chirp 3: Suara Kustom Instan | ||
Chirp 2: Transkripsi
(chirp_2)
|
||
Gemini 2.5 Pro TTS
(gemini-2.5-pro-tts)
|
||
Gemini 2.5 Flash TTS
(gemini-2.5-flash-tts)
|
||
Gemini 2.5 Flash Lite Preview TTS
pratinjau
(gemini-2.5-flash-lite-preview-tts)
|
||
Eropa
| London(europe-west2) | Belgia(europe-west1) | Belanda(europe-west4) | Zürich(europe-west6) | Frankfurt(europe-west3) | Finlandia(europe-north1) | Warsawa(europe-central2) | Milan(europe-west8) | Madrid(europe-southwest1) | Paris(europe-west9) | |
|---|---|---|---|---|---|---|---|---|---|---|
| Model Gemini | ||||||||||
Gemini 3.5 Flash
(gemini-3.5-flash)
|
||||||||||
Gemini 3.1 Flash-Lite
(gemini-3.1-flash-lite)
|
||||||||||
Gambar Gemini 3.1 Flash
pratinjau
(gemini-3.1-flash-image-preview)
|
||||||||||
Gemini 3.1 Pro
pratinjau
(gemini-3.1-pro-preview)
|
||||||||||
Gemini 3 Flash
pratinjau
(gemini-3-flash-preview)
|
||||||||||
Gambar Gemini 3 Pro
pratinjau
(gemini-3-pro-image-preview)
|
||||||||||
Gemini 2.5 Pro
(gemini-2.5-pro)
|
||||||||||
Gemini 2.5 Flash
pratinjau
(gemini-2.5-flash-preview-09-2025)
|
||||||||||
Gemini 2.5 Flash-Lite
pratinjau
(gemini-2.5-flash-lite-preview-09-2025)
|
||||||||||
Gambar Gemini 2.5 Flash
(gemini-2.5-flash-image)
|
||||||||||
Gemini 2.5 Flash
(gemini-2.5-flash)
|
||||||||||
Gemini 2.5 Flash-Lite
(gemini-2.5-flash-lite)
|
||||||||||
Gemini 2.5 Flash dengan audio bawaan Gemini Live API
(gemini-live-2.5-flash-native-audio)
|
||||||||||
Gemini 2.0 Flash dengan Gemini Live API
Pratinjau
(gemini-2.0-flash-live-preview-04-09)
|
||||||||||
| Model embedding | ||||||||||
Gemini Embedding 2
(gemini-embedding-2)
|
||||||||||
Embedding Gemini
(gemini-embedding-001)
|
||||||||||
| Embeddings for Text | ||||||||||
| Embedding untuk Multimodal | ||||||||||
| Model Veo di Platform Agen Gemini Enterprise | ||||||||||
Veo 2 Generate
(veo-2.0-generate-001)
|
||||||||||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-exp)
|
||||||||||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-preview)
|
||||||||||
Veo 3 Generate
preview
(veo-3.0-generate-preview)
|
||||||||||
Veo 3 Generate
preview
(veo-3.0-fast-generate-preview)
|
||||||||||
Veo 3 Generate
(veo-3.0-generate-001)
|
||||||||||
Veo 3 Fast Generate
(veo-3.0-fast-generate-001)
|
||||||||||
Veo 3.1 Generate
pratinjau
(veo-3.1-generate-preview)
|
||||||||||
Veo 3.1 Fast Generate
pratinjau
(veo-3.1-fast-generate-preview)
|
||||||||||
Veo 3.1 Generate
(veo-3.1-generate-001)
|
||||||||||
Veo 3.1 Fast Generate
(veo-3.1-fast-generate-001)
|
||||||||||
Pembuatan Veo 3.1 Lite
pratinjau
(veo-3.1-lite-generate-001)
|
||||||||||
| Model Speech-to-Text dan Text-to-Speech | ||||||||||
Chirp 3: Transkripsi
(chirp_3)
|
||||||||||
| Chirp 3: Suara HD | ||||||||||
| Chirp 3: Suara Kustom Instan | ||||||||||
Chirp 2: Transkripsi
(chirp_2)
|
||||||||||
Gemini 2.5 Pro TTS
(gemini-2.5-pro-tts)
|
||||||||||
Gemini 2.5 Flash TTS
(gemini-2.5-flash-tts)
|
||||||||||
Gemini 2.5 Flash Lite Preview TTS
pratinjau
(gemini-2.5-flash-lite-preview-tts)
|
||||||||||
Asia Pasifik
| Mumbai(asia-south1) | Singapura(asia-southeast1) | Hong Kong(asia-east2) | Taiwan(asia-east1) | Tokyo(asia-northeast1) | Sydney(australia-southeast1) | Seoul(asia-northeast3) | |
|---|---|---|---|---|---|---|---|
| Model Gemini | |||||||
Gemini 3.5 Flash
(gemini-3.5-flash)
|
|||||||
Gemini 3.1 Flash-Lite
(gemini-3.1-flash-lite)
|
|||||||
Gambar Gemini 3.1 Flash
pratinjau
(gemini-3.1-flash-image-preview)
|
|||||||
Gemini 3.1 Pro
pratinjau
(gemini-3.1-pro-preview)
|
|||||||
Gemini 3 Flash
pratinjau
(gemini-3-flash-preview)
|
|||||||
Gambar Gemini 3 Pro
pratinjau
(gemini-3-pro-image-preview)
|
|||||||
Gemini 2.5 Pro
(gemini-2.5-pro)
|
|||||||
Gemini 2.5 Flash
pratinjau
(gemini-2.5-flash-preview-09-2025)
|
|||||||
Gemini 2.5 Flash-Lite
pratinjau
(gemini-2.5-flash-lite-preview-09-2025)
|
|||||||
Gambar Gemini 2.5 Flash
(gemini-2.5-flash-image)
|
|||||||
Gemini 2.5 Flash
(gemini-2.5-flash)
|
|||||||
Gemini 2.5 Flash-Lite
(gemini-2.5-flash-lite)
|
|||||||
Gemini 2.5 Flash dengan audio bawaan Gemini Live API
(gemini-live-2.5-flash-native-audio)
|
|||||||
Gemini 2.0 Flash dengan Gemini Live API
Pratinjau
(gemini-2.0-flash-live-preview-04-09)
|
|||||||
| Model embedding | |||||||
Gemini Embedding 2
(gemini-embedding-2)
|
|||||||
Embedding Gemini
(gemini-embedding-001)
|
|||||||
| Embeddings for Text | |||||||
| Embedding untuk Multimodal | |||||||
| Model Veo di Platform Agen Gemini Enterprise | |||||||
Veo 2 Generate
(veo-2.0-generate-001)
|
|||||||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-exp)
|
|||||||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-preview)
|
|||||||
Veo 3 Generate
preview
(veo-3.0-generate-preview)
|
|||||||
Veo 3 Generate
preview
(veo-3.0-fast-generate-preview)
|
|||||||
Veo 3 Generate
(veo-3.0-generate-001)
|
|||||||
Veo 3 Fast Generate
(veo-3.0-fast-generate-001)
|
|||||||
Veo 3.1 Generate
pratinjau
(veo-3.1-generate-preview)
|
|||||||
Veo 3.1 Fast Generate
pratinjau
(veo-3.1-fast-generate-preview)
|
|||||||
Veo 3.1 Generate
(veo-3.1-generate-001)
|
|||||||
Veo 3.1 Fast Generate
(veo-3.1-fast-generate-001)
|
|||||||
Pembuatan Veo 3.1 Lite
pratinjau
(veo-3.1-lite-generate-001)
|
|||||||
| Model Speech-to-Text dan Text-to-Speech | |||||||
Chirp 3: Transkripsi
(chirp_3)
|
|||||||
| Chirp 3: Suara HD | |||||||
| Chirp 3: Suara Kustom Instan | |||||||
Chirp 2: Transkripsi
(chirp_2)
|
|||||||
Gemini 2.5 Pro TTS
(gemini-2.5-pro-tts)
|
|||||||
Gemini 2.5 Flash TTS
(gemini-2.5-flash-tts)
|
|||||||
Gemini 2.5 Flash Lite Preview TTS
pratinjau
(gemini-2.5-flash-lite-preview-tts)
|
|||||||
Timur Tengah
| Tel Aviv(me-west1) | Doha(me-central1) | Dammam(me-central2) | |
|---|---|---|---|
| Model Gemini | |||
Gemini 3.5 Flash
(gemini-3.5-flash)
|
|||
Gemini 3.1 Flash-Lite
(gemini-3.1-flash-lite)
|
|||
Gambar Gemini 3.1 Flash
pratinjau
(gemini-3.1-flash-image-preview)
|
|||
Gemini 3.1 Pro
pratinjau
(gemini-3.1-pro-preview)
|
|||
Gemini 3 Flash
pratinjau
(gemini-3-flash-preview)
|
|||
Gambar Gemini 3 Pro
pratinjau
(gemini-3-pro-image-preview)
|
|||
Gemini 2.5 Pro
(gemini-2.5-pro)
|
|||
Gemini 2.5 Flash
pratinjau
(gemini-2.5-flash-preview-09-2025)
|
|||
Gemini 2.5 Flash-Lite
pratinjau
(gemini-2.5-flash-lite-preview-09-2025)
|
|||
Gambar Gemini 2.5 Flash
(gemini-2.5-flash-image)
|
|||
Gemini 2.5 Flash
(gemini-2.5-flash)
|
|||
Gemini 2.5 Flash-Lite
(gemini-2.5-flash-lite)
|
|||
Gemini 2.5 Flash dengan audio bawaan Gemini Live API
(gemini-live-2.5-flash-native-audio)
|
|||
Gemini 2.0 Flash dengan Gemini Live API
Pratinjau
(gemini-2.0-flash-live-preview-04-09)
|
|||
| Model embedding | |||
Gemini Embedding 2
(gemini-embedding-2)
|
|||
Embedding Gemini
(gemini-embedding-001)
|
|||
| Embeddings for Text | |||
| Embedding untuk Multimodal | |||
| Model Veo di Platform Agen Gemini Enterprise | |||
Veo 2 Generate
(veo-2.0-generate-001)
|
|||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-exp)
|
|||
Pembuatan Veo 2
pratinjau
(veo-2.0-generate-preview)
|
|||
Veo 3 Generate
preview
(veo-3.0-generate-preview)
|
|||
Veo 3 Generate
preview
(veo-3.0-fast-generate-preview)
|
|||
Veo 3 Generate
(veo-3.0-generate-001)
|
|||
Veo 3 Fast Generate
(veo-3.0-fast-generate-001)
|
|||
Veo 3.1 Generate
pratinjau
(veo-3.1-generate-preview)
|
|||
Veo 3.1 Fast Generate
pratinjau
(veo-3.1-fast-generate-preview)
|
|||
Veo 3.1 Generate
(veo-3.1-generate-001)
|
|||
Veo 3.1 Fast Generate
(veo-3.1-fast-generate-001)
|
|||
Pembuatan Veo 3.1 Lite
pratinjau
(veo-3.1-lite-generate-001)
|
|||
| Model Speech-to-Text dan Text-to-Speech | |||
Chirp 3: Transkripsi
(chirp_3)
|
|||
| Chirp 3: Suara HD | |||
| Chirp 3: Suara Kustom Instan | |||
Chirp 2: Transkripsi
(chirp_2)
|
|||
Gemini 2.5 Pro TTS
(gemini-2.5-pro-tts)
|
|||
Gemini 2.5 Flash TTS
(gemini-2.5-flash-tts)
|
|||
Gemini 2.5 Flash Lite Preview TTS
pratinjau
(gemini-2.5-flash-lite-preview-tts)
|
|||
Lokasi endpoint model partnerGoogle Cloud
Google menayangkan permintaan dari region yang Anda tentukan. Untuk beberapa model, Google juga menawarkan endpoint global untuk meningkatkan ketersediaan secara keseluruhan dan mengurangi rasio error. Endpoint global dapat memiliki serangkaian kuota terpisah dari endpoint regional dan tidak mendukung persyaratan residensi data. Untuk mengetahui informasi selengkapnya, lihat bagian "Endpoint regional dan global" di Model partner Platform Agen Gemini Enterprise untuk MaaS.
Endpoint model partner untuk Agent Platform tersedia di region berikut:
Global
| Global(global) | |
|---|---|
| Model Anthropic | |
| Claude Opus 4.7 | |
| Claude Opus 4.6 | |
| Claude Opus 4.5 | |
| Claude Sonnet 4.6 | |
| Claude Sonnet 4.5 | |
| Claude Opus 4.1 | |
| Claude Haiku 4.5 | |
| Claude Opus 4 | |
| Claude Sonnet 4 | |
| Claude 3.7 Sonnet dari Anthropic | |
| Claude 3.5 Haiku dari Anthropic | |
| Claude 3 Haiku dari Anthropic (tidak digunakan lagi) | |
| Model Mistral | |
| Mistral Medium 3 | |
| Mistral OCR (25.05) | |
| Mistral Small 3.1 (25.03) | |
| Mistral Large (24.07) | |
| Codestral 2 | |
| Codestral (24.05) | |
Multi-region
| Multi-region Amerika Serikat(us) | Multi-region Uni Eropa(eu) | |
|---|---|---|
| Model Anthropic | ||
| Claude Opus 4.7 | ||
| Claude Opus 4.6 | ||
| Claude Opus 4.5 | ||
| Claude Sonnet 4.6 | ||
| Claude Sonnet 4.5 | ||
| Claude Opus 4.1 | ||
| Claude Haiku 4.5 | ||
| Claude Opus 4 | ||
| Claude Sonnet 4 | ||
| Claude 3.7 Sonnet dari Anthropic | ||
| Claude 3.5 Haiku dari Anthropic | ||
| Claude 3 Haiku dari Anthropic (tidak digunakan lagi) | ||
| Model Mistral | ||
| Mistral Medium 3 | ||
| Mistral OCR (25.05) | ||
| Mistral Small 3.1 (25.03) | ||
| Mistral Large (24.07) | ||
| Codestral 2 | ||
| Codestral (24.05) | ||
Amerika Serikat
| Oregon(us-west1) | Las Vegas(us-west4) | Iowa(us-central1) | South Carolina(us-east1) | Virginia Virginia(us-east4) | Columbus(us-east5) | Dallas(us-south1) | |
|---|---|---|---|---|---|---|---|
| Model Anthropic | |||||||
| Claude Opus 4.7 | |||||||
| Claude Opus 4.6 | |||||||
| Claude Opus 4.5 | |||||||
| Claude Sonnet 4.6 | |||||||
| Claude Sonnet 4.5 | |||||||
| Claude Opus 4.1 | |||||||
| Claude Haiku 4.5 | |||||||
| Claude Opus 4 | |||||||
| Claude Sonnet 4 | |||||||
| Claude 3.7 Sonnet dari Anthropic | |||||||
| Claude 3.5 Haiku dari Anthropic | |||||||
| Claude 3 Haiku dari Anthropic (tidak digunakan lagi) | |||||||
| Model Mistral | |||||||
| Mistral Medium 3 | |||||||
| Mistral OCR (25.05) | |||||||
| Mistral Small 3.1 (25.03) | |||||||
| Mistral Large (24.07) | |||||||
| Codestral 2 | |||||||
| Codestral (24.05) | |||||||
Amerika
| Montréal(northamerica-northeast1) | São Paulo(southamerica-east1) | |
|---|---|---|
| Model Anthropic | ||
| Claude Opus 4.7 | ||
| Claude Opus 4.6 | ||
| Claude Opus 4.5 | ||
| Claude Sonnet 4.6 | ||
| Claude Sonnet 4.5 | ||
| Claude Opus 4.1 | ||
| Claude Haiku 4.5 | ||
| Claude Opus 4 | ||
| Claude Sonnet 4 | ||
| Claude 3.7 Sonnet dari Anthropic | ||
| Claude 3.5 Haiku dari Anthropic | ||
| Claude 3 Haiku dari Anthropic (tidak digunakan lagi) | ||
| Model Mistral | ||
| Mistral Medium 3 | ||
| Mistral OCR (25.05) | ||
| Mistral Small 3.1 (25.03) | ||
| Mistral Large (24.07) | ||
| Codestral 2 | ||
| Codestral (24.05) | ||
Eropa
| London(europe-west2) | Belgia(europe-west1) | Belanda(europe-west4) | Zürich(europe-west6) | Frankfurt(europe-west3) | Finlandia(europe-north1) | Warsawa(europe-central2) | Milan(europe-west8) | Madrid(europe-southwest1) | Paris(europe-west9) | |
|---|---|---|---|---|---|---|---|---|---|---|
| Model Anthropic | ||||||||||
| Claude Opus 4.7 | ||||||||||
| Claude Opus 4.6 | ||||||||||
| Claude Opus 4.5 | ||||||||||
| Claude Sonnet 4.6 | ||||||||||
| Claude Sonnet 4.5 | ||||||||||
| Claude Opus 4.1 | ||||||||||
| Claude Haiku 4.5 | ||||||||||
| Claude Opus 4 | ||||||||||
| Claude Sonnet 4 | ||||||||||
| Claude 3.7 Sonnet dari Anthropic | ||||||||||
| Claude 3.5 Haiku dari Anthropic | ||||||||||
| Claude 3 Haiku dari Anthropic (tidak digunakan lagi) | ||||||||||
| Model Mistral | ||||||||||
| Mistral Medium 3 | ||||||||||
| Mistral OCR (25.05) | ||||||||||
| Mistral Small 3.1 (25.03) | ||||||||||
| Mistral Large (24.07) | ||||||||||
| Codestral 2 | ||||||||||
| Codestral (24.05) | ||||||||||
Asia Pasifik
| Mumbai(asia-south1) | Singapura(asia-southeast1) | Hong Kong(asia-east2) | Taiwan(asia-east1) | Tokyo(asia-northeast1) | Sydney(australia-southeast1) | Seoul(asia-northeast3) | |
|---|---|---|---|---|---|---|---|
| Model Anthropic | |||||||
| Claude Opus 4.7 | |||||||
| Claude Opus 4.6 | |||||||
| Claude Opus 4.5 | |||||||
| Claude Sonnet 4.6 | |||||||
| Claude Sonnet 4.5 | |||||||
| Claude Opus 4.1 | |||||||
| Claude Haiku 4.5 | |||||||
| Claude Opus 4 | |||||||
| Claude Sonnet 4 | |||||||
| Claude 3.7 Sonnet dari Anthropic | |||||||
| Claude 3.5 Haiku dari Anthropic | |||||||
| Claude 3 Haiku dari Anthropic (tidak digunakan lagi) | |||||||
| Model Mistral | |||||||
| Mistral Medium 3 | |||||||
| Mistral OCR (25.05) | |||||||
| Mistral Small 3.1 (25.03) | |||||||
| Mistral Large (24.07) | |||||||
| Codestral 2 | |||||||
| Codestral (24.05) | |||||||
Timur Tengah
| Tel Aviv(me-west1) | Doha(me-central1) | Dammam(me-central2) | |
|---|---|---|---|
| Model Anthropic | |||
| Claude Opus 4.7 | |||
| Claude Opus 4.6 | |||
| Claude Opus 4.5 | |||
| Claude Sonnet 4.6 | |||
| Claude Sonnet 4.5 | |||
| Claude Opus 4.1 | |||
| Claude Haiku 4.5 | |||
| Claude Opus 4 | |||
| Claude Sonnet 4 | |||
| Claude 3.7 Sonnet dari Anthropic | |||
| Claude 3.5 Haiku dari Anthropic | |||
| Claude 3 Haiku dari Anthropic (tidak digunakan lagi) | |||
| Model Mistral | |||
| Mistral Medium 3 | |||
| Mistral OCR (25.05) | |||
| Mistral Small 3.1 (25.03) | |||
| Mistral Large (24.07) | |||
| Codestral 2 | |||
| Codestral (24.05) | |||
Lokasi endpoint model terbukaGoogle Cloud
Google menayangkan permintaan dari region yang Anda tentukan. Untuk beberapa model, Google juga menawarkan endpoint global untuk meningkatkan ketersediaan secara keseluruhan dan mengurangi rasio error. Endpoint global dapat memiliki serangkaian kuota terpisah dari endpoint regional dan tidak mendukung persyaratan residensi data. Untuk mengetahui informasi selengkapnya, lihat bagian "Endpoint regional dan global" di Model terbuka Platform Agen Gemini Enterprise untuk MaaS.
Endpoint model terbuka untuk Agent Platform tersedia di region berikut:
Global
| Global(global) | |
|---|---|
| Model Deepseek | |
DeepSeek-OCR
(deepseek-ocr-maas)
|
|
DeepSeek-V3.2
(deepseek-v3.2-maas)
|
|
DeepSeek-V3.1
(deepseek-v3.1-maas)
|
|
DeepSeek R1 (0528)
(deepseek-r1-0528-maas)
|
|
| Model ZAI.org | |
GLM 4.7
(glm-4.7-maas)
|
|
GLM 5
(glm-5-maas)
|
|
| Model OpenAI | |
gpt-oss 120B
(gpt-oss-120b-maas)
|
|
gpt-oss 20B
(gpt-oss-20b-maas)
|
|
| Model AI Moonshot | |
Kimi K2 Thinking
(kimi-k2-thinking-maas)
|
|
| Model Llama | |
| Llama 3.3 70B | |
| Llama 4 Maverick 17B-128E | |
| Llama 4 Scout 17B-16E | |
| Model MiniMax | |
MiniMax M2
(minimax-m2-maas)
|
|
| Model Qwen | |
Qwen3-Next-80B Berpikir
(qwen3-next-80b-a3b-thinking-maas)
|
|
Qwen3-Next-80B Instruct
(qwen3-next-80b-a3b-instruct-maas)
|
|
Qwen3 Coder
(qwen3-coder-480b-a35b-instruct-maas)
|
|
Qwen3 235B
(qwen3-235b-a22b-instruct-2507-maas)
|
|
| Model e5 | |
Multilingual E5 Small
(multilingual-e5-small-maas)
|
|
Multilingual E5 Large
(multilingual-e5-large-instruct-maas)
|
|
Multi-region
| Multi-region Amerika Serikat(us) | Multi-region Uni Eropa(eu) | |
|---|---|---|
| Model Deepseek | ||
DeepSeek-OCR
(deepseek-ocr-maas)
|
||
DeepSeek-V3.2
(deepseek-v3.2-maas)
|
||
DeepSeek-V3.1
(deepseek-v3.1-maas)
|
||
DeepSeek R1 (0528)
(deepseek-r1-0528-maas)
|
||
| Model ZAI.org | ||
GLM 4.7
(glm-4.7-maas)
|
||
GLM 5
(glm-5-maas)
|
||
| Model OpenAI | ||
gpt-oss 120B
(gpt-oss-120b-maas)
|
||
gpt-oss 20B
(gpt-oss-20b-maas)
|
||
| Model AI Moonshot | ||
Kimi K2 Thinking
(kimi-k2-thinking-maas)
|
||
| Model Llama | ||
| Llama 3.3 70B | ||
| Llama 4 Maverick 17B-128E | ||
| Llama 4 Scout 17B-16E | ||
| Model MiniMax | ||
MiniMax M2
(minimax-m2-maas)
|
||
| Model Qwen | ||
Qwen3-Next-80B Berpikir
(qwen3-next-80b-a3b-thinking-maas)
|
||
Qwen3-Next-80B Instruct
(qwen3-next-80b-a3b-instruct-maas)
|
||
Qwen3 Coder
(qwen3-coder-480b-a35b-instruct-maas)
|
||
Qwen3 235B
(qwen3-235b-a22b-instruct-2507-maas)
|
||
| Model e5 | ||
Multilingual E5 Small
(multilingual-e5-small-maas)
|
||
Multilingual E5 Large
(multilingual-e5-large-instruct-maas)
|
||
Amerika Serikat
| Oregon(us-west1) | Las Vegas(us-west4) | Iowa(us-central1) | South Carolina(us-east1) | Virginia Virginia(us-east4) | Columbus(us-east5) | Dallas(us-south1) | |
|---|---|---|---|---|---|---|---|
| Model Deepseek | |||||||
DeepSeek-OCR
(deepseek-ocr-maas)
|
|||||||
DeepSeek-V3.2
(deepseek-v3.2-maas)
|
|||||||
DeepSeek-V3.1
(deepseek-v3.1-maas)
|
|||||||
DeepSeek R1 (0528)
(deepseek-r1-0528-maas)
|
|||||||
| Model ZAI.org | |||||||
GLM 4.7
(glm-4.7-maas)
|
|||||||
GLM 5
(glm-5-maas)
|
|||||||
| Model OpenAI | |||||||
gpt-oss 120B
(gpt-oss-120b-maas)
|
|||||||
gpt-oss 20B
(gpt-oss-20b-maas)
|
|||||||
| Model AI Moonshot | |||||||
Kimi K2 Thinking
(kimi-k2-thinking-maas)
|
|||||||
| Model Llama | |||||||
| Llama 3.3 70B | |||||||
| Llama 4 Maverick 17B-128E | |||||||
| Llama 4 Scout 17B-16E | |||||||
| Model MiniMax | |||||||
MiniMax M2
(minimax-m2-maas)
|
|||||||
| Model Qwen | |||||||
Qwen3-Next-80B Berpikir
(qwen3-next-80b-a3b-thinking-maas)
|
|||||||
Qwen3-Next-80B Instruct
(qwen3-next-80b-a3b-instruct-maas)
|
|||||||
Qwen3 Coder
(qwen3-coder-480b-a35b-instruct-maas)
|
|||||||
Qwen3 235B
(qwen3-235b-a22b-instruct-2507-maas)
|
|||||||
| Model e5 | |||||||
Multilingual E5 Small
(multilingual-e5-small-maas)
|
|||||||
Multilingual E5 Large
(multilingual-e5-large-instruct-maas)
|
|||||||
Amerika
| Montréal(northamerica-northeast1) | São Paulo(southamerica-east1) | |
|---|---|---|
| Model Deepseek | ||
DeepSeek-OCR
(deepseek-ocr-maas)
|
||
DeepSeek-V3.2
(deepseek-v3.2-maas)
|
||
DeepSeek-V3.1
(deepseek-v3.1-maas)
|
||
DeepSeek R1 (0528)
(deepseek-r1-0528-maas)
|
||
| Model ZAI.org | ||
GLM 4.7
(glm-4.7-maas)
|
||
GLM 5
(glm-5-maas)
|
||
| Model OpenAI | ||
gpt-oss 120B
(gpt-oss-120b-maas)
|
||
gpt-oss 20B
(gpt-oss-20b-maas)
|
||
| Model AI Moonshot | ||
Kimi K2 Thinking
(kimi-k2-thinking-maas)
|
||
| Model Llama | ||
| Llama 3.3 70B | ||
| Llama 4 Maverick 17B-128E | ||
| Llama 4 Scout 17B-16E | ||
| Model MiniMax | ||
MiniMax M2
(minimax-m2-maas)
|
||
| Model Qwen | ||
Qwen3-Next-80B Berpikir
(qwen3-next-80b-a3b-thinking-maas)
|
||
Qwen3-Next-80B Instruct
(qwen3-next-80b-a3b-instruct-maas)
|
||
Qwen3 Coder
(qwen3-coder-480b-a35b-instruct-maas)
|
||
Qwen3 235B
(qwen3-235b-a22b-instruct-2507-maas)
|
||
| Model e5 | ||
Multilingual E5 Small
(multilingual-e5-small-maas)
|
||
Multilingual E5 Large
(multilingual-e5-large-instruct-maas)
|
||
Eropa
| London(europe-west2) | Belgia(europe-west1) | Belanda(europe-west4) | Zürich(europe-west6) | Frankfurt(europe-west3) | Finlandia(europe-north1) | Warsawa(europe-central2) | Milan(europe-west8) | Madrid(europe-southwest1) | Paris(europe-west9) | |
|---|---|---|---|---|---|---|---|---|---|---|
| Model Deepseek | ||||||||||
DeepSeek-OCR
(deepseek-ocr-maas)
|
||||||||||
DeepSeek-V3.2
(deepseek-v3.2-maas)
|
||||||||||
DeepSeek-V3.1
(deepseek-v3.1-maas)
|
||||||||||
DeepSeek R1 (0528)
(deepseek-r1-0528-maas)
|
||||||||||
| Model ZAI.org | ||||||||||
GLM 4.7
(glm-4.7-maas)
|
||||||||||
GLM 5
(glm-5-maas)
|
||||||||||
| Model OpenAI | ||||||||||
gpt-oss 120B
(gpt-oss-120b-maas)
|
||||||||||
gpt-oss 20B
(gpt-oss-20b-maas)
|
||||||||||
| Model AI Moonshot | ||||||||||
Kimi K2 Thinking
(kimi-k2-thinking-maas)
|
||||||||||
| Model Llama | ||||||||||
| Llama 3.3 70B | ||||||||||
| Llama 4 Maverick 17B-128E | ||||||||||
| Llama 4 Scout 17B-16E | ||||||||||
| Model MiniMax | ||||||||||
MiniMax M2
(minimax-m2-maas)
|
||||||||||
| Model Qwen | ||||||||||
Qwen3-Next-80B Berpikir
(qwen3-next-80b-a3b-thinking-maas)
|
||||||||||
Qwen3-Next-80B Instruct
(qwen3-next-80b-a3b-instruct-maas)
|
||||||||||
Qwen3 Coder
(qwen3-coder-480b-a35b-instruct-maas)
|
||||||||||
Qwen3 235B
(qwen3-235b-a22b-instruct-2507-maas)
|
||||||||||
| Model e5 | ||||||||||
Multilingual E5 Small
(multilingual-e5-small-maas)
|
||||||||||
Multilingual E5 Large
(multilingual-e5-large-instruct-maas)
|
||||||||||
Asia Pasifik
| Mumbai(asia-south1) | Singapura(asia-southeast1) | Hong Kong(asia-east2) | Taiwan(asia-east1) | Tokyo(asia-northeast1) | Sydney(australia-southeast1) | Seoul(asia-northeast3) | |
|---|---|---|---|---|---|---|---|
| Model Deepseek | |||||||
DeepSeek-OCR
(deepseek-ocr-maas)
|
|||||||
DeepSeek-V3.2
(deepseek-v3.2-maas)
|
|||||||
DeepSeek-V3.1
(deepseek-v3.1-maas)
|
|||||||
DeepSeek R1 (0528)
(deepseek-r1-0528-maas)
|
|||||||
| Model ZAI.org | |||||||
GLM 4.7
(glm-4.7-maas)
|
|||||||
GLM 5
(glm-5-maas)
|
|||||||
| Model OpenAI | |||||||
gpt-oss 120B
(gpt-oss-120b-maas)
|
|||||||
gpt-oss 20B
(gpt-oss-20b-maas)
|
|||||||
| Model AI Moonshot | |||||||
Kimi K2 Thinking
(kimi-k2-thinking-maas)
|
|||||||
| Model Llama | |||||||
| Llama 3.3 70B | |||||||
| Llama 4 Maverick 17B-128E | |||||||
| Llama 4 Scout 17B-16E | |||||||
| Model MiniMax | |||||||
MiniMax M2
(minimax-m2-maas)
|
|||||||
| Model Qwen | |||||||
Qwen3-Next-80B Berpikir
(qwen3-next-80b-a3b-thinking-maas)
|
|||||||
Qwen3-Next-80B Instruct
(qwen3-next-80b-a3b-instruct-maas)
|
|||||||
Qwen3 Coder
(qwen3-coder-480b-a35b-instruct-maas)
|
|||||||
Qwen3 235B
(qwen3-235b-a22b-instruct-2507-maas)
|
|||||||
| Model e5 | |||||||
Multilingual E5 Small
(multilingual-e5-small-maas)
|
|||||||
Multilingual E5 Large
(multilingual-e5-large-instruct-maas)
|
|||||||
Timur Tengah
| Tel Aviv(me-west1) | Doha(me-central1) | Dammam(me-central2) | |
|---|---|---|---|
| Model Deepseek | |||
DeepSeek-OCR
(deepseek-ocr-maas)
|
|||
DeepSeek-V3.2
(deepseek-v3.2-maas)
|
|||
DeepSeek-V3.1
(deepseek-v3.1-maas)
|
|||
DeepSeek R1 (0528)
(deepseek-r1-0528-maas)
|
|||
| Model ZAI.org | |||
GLM 4.7
(glm-4.7-maas)
|
|||
GLM 5
(glm-5-maas)
|
|||
| Model OpenAI | |||
gpt-oss 120B
(gpt-oss-120b-maas)
|
|||
gpt-oss 20B
(gpt-oss-20b-maas)
|
|||
| Model AI Moonshot | |||
Kimi K2 Thinking
(kimi-k2-thinking-maas)
|
|||
| Model Llama | |||
| Llama 3.3 70B | |||
| Llama 4 Maverick 17B-128E | |||
| Llama 4 Scout 17B-16E | |||
| Model MiniMax | |||
MiniMax M2
(minimax-m2-maas)
|
|||
| Model Qwen | |||
Qwen3-Next-80B Berpikir
(qwen3-next-80b-a3b-thinking-maas)
|
|||
Qwen3-Next-80B Instruct
(qwen3-next-80b-a3b-instruct-maas)
|
|||
Qwen3 Coder
(qwen3-coder-480b-a35b-instruct-maas)
|
|||
Qwen3 235B
(qwen3-235b-a22b-instruct-2507-maas)
|
|||
| Model e5 | |||
Multilingual E5 Small
(multilingual-e5-small-maas)
|
|||
Multilingual E5 Large
(multilingual-e5-large-instruct-maas)
|
|||