Model ID: google/gemini-2.5-flash
per 1M tokens
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-2.5-flash"
)
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-2.5-flashExample Response:
{
"id": "google/gemini-2.5-flash",
"name": "Google: Gemini 2.5 Flash",
"pricing": {
"prompt": "0.0000003",
"completion": "0.0000025",
"input_cache_read": "0.00000003"
}
}