Model ID: google/gemini-3.1-pro-preview:batch
per 1M tokens
per 1M tokens
import requests
# Fetch pricing data from llmprices.ai
response = requests.get(
"https://llmprices.ai/api/pricing?model=google/gemini-3.1-pro-preview:batch"
)
data = response.json()
print(f"Model: {data['name']}")
print(f"Input: {float(data["pricing"]["prompt"]) * 1000000:.2f}/1M tokens")
print(f"Output: {float(data["pricing"]["completion"]) * 1000000:.2f}/1M tokens")Endpoint:
GET https://llmprices.ai/api/pricing?model=google/gemini-3.1-pro-preview:batchExample Response:
{
"id": "google/gemini-3.1-pro-preview:batch",
"name": "Google: Gemini 3.1 Pro Preview (batch)",
"pricing": {
"prompt": "0.000001",
"completion": "0.000006"
}
}