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LLM API
Model provider16 models

Google Vertex AI

Google Vertex AI serves 16 models on LLM API: 10 text models, 5 image models and 1 audio model, all from Google.

Models and prices

Prices when Google Vertex AI serves the request.

Text 10

Prices per 1M tokens

Text models on Google Vertex AI and their prices on LLM API
GoogleGemini 4 Argongoogle-vertex/gemini-4-argon$2$10$0.11.05M
GoogleGemini 3.8 Flashgoogle-vertex/gemini-3.8-flash$0.75$3.75$0.0751.05M
GoogleGemini 3.5 Flash Litegoogle-vertex/gemini-3.5-flash-lite$0.3$2.5$0.031.05M
GoogleGemini 3.7 Flashgoogle-vertex/gemini-3.7-flash$0.75$3.75$0.0751.05M
GoogleGemini 3.6 Flashgoogle-vertex/gemini-3.6-flash$0.75$3.75$0.0751.05M
GoogleGemini 3.5 Flashgoogle-vertex/gemini-3.5-flash$1.5$9$0.151.05M
GoogleGemini 3.1 Flash Litegoogle-vertex/gemini-3.1-flash-lite$0.25$1.5$0.0251.05M
GoogleGemini 3.1 Pro (Preview)google-vertex/gemini-3.1-pro-preview$2$12$0.21.05M
GoogleGemini 3 Flash (Preview)google-vertex/gemini-3-flash-preview$0.5$3$0.051.05M
GoogleGemini 2.5 Flashgoogle-vertex/gemini-2.5-flash$0.3$2.5$0.031.05M

Image 5

Price per image

Image models on Google Vertex AI and their prices on LLM API
GoogleNano Banana 2.1google-vertex/gemini-nano-banana-2.1$0.0336/ imageGenerate
GoogleNano Banana 2 Litegoogle-vertex/gemini-3.1-flash-lite-image$0.0336/ imageGenerate
GoogleGemini 3.1 Flash Image (Preview)google-vertex/gemini-3.1-flash-image-preview$60/ 1M output tokensGenerate, Edit
GoogleGemini 3 Pro Image (Preview)google-vertex/gemini-3-pro-image-preview$120/ 1M output tokensGenerate, Edit
GoogleGemini 2.5 Flash Imagegoogle-vertex/gemini-2.5-flash-image$30/ 1M output tokensGenerate, Edit

Audio 1

Price per minute of audio or per 1K characters

Audio models on Google Vertex AI and their prices on LLM API
GoogleGoogle Chirp 3chirp_3Transcription$0.016/ minute

Send requests to Google Vertex AI

Put google-vertex/ before a model ID and the request goes to Google Vertex AI. If Google Vertex AI’s uptime over the last 5 minutes is below 90%, it goes to another provider of the model, unless it sends X-No-Fallback: true. Routing docs

Example: Gemini 4 Argon

POST /v1/chat/completionsSet LLMAPI_KEY to your LLM API key.Chat Completions docs

import os

from openai import OpenAI

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

response = client.chat.completions.create(
    model="google-vertex/gemini-4-argon",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Prices synced October 27, 2026.

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