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Get all the details on omni-moderation, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as content_moderation, multimodal_input, available API code samples, and performance strengths.
Key Metrics
Input Limit
No data tokens
Output Limit
No data tokens
Input Cost
$0.00/1M
Output Cost
$0.00/1M
Sample API Code
import os
from openai import OpenAI
client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
response = client.moderations.create(
model="omni-moderation",
input="This is some text to moderate."
)
moderation_output = response.results[0]
print(moderation_output)Required Libraries
openai
openai
Notes
Identify potentially harmful content in text and images
Capabilities
content moderation
multimodal input
Supported Data Types
Input Types
text
image
Output Types
json
Strengths & Weaknesses
Exceptional at
content moderation
multimodal content safety
Poor at
general text generation
complex reasoning
coding
image generation
Additional Information
Latest Update
Sep 26, 2024
Knowledge Cutoff
No data