Get OpenAI o3 API with its high-compute configuration and 87.5% score on the ARC-AGI semi-private evaluation set. OpenAI o3 API is perfect for software development and scientific research.
O3 uses a unique architecture that allows it to recombine knowledge at test time, much like human intelligence. On coding tasks, o3-mini competing head-to-head with professional coders on platforms like Codeforces.
ARC-AGI Mastery75.7% score demonstrates unmatched adaptability
Adaptive Reasoningo3 recombines knowledge like human intelligence
PerformanceExcels in coding and mathematics benchmarks
Context Window ControlProcesses up to 128,000 tokens for comprehensive understanding
Gain instant access to OpenAI o3-mini through production API: AI/ML API provides direct connectivity to OpenAI o3-mini.
Read more: Technical Model Card.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.aimlapi.com/v1",
api_key="<YOUR_API_KEY>",
)
response = client.chat.completions.create(
model="o3-mini",
messages=[
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
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In the Playground, navigate to the Key Management section and click on Create API Key. You can easily activate or deactivate your keys as needed.
After creating your API key, you can integrate AI models into your application by following the guidelines provided in our API reference.
Known for its high-compute capabilities, excelling in scenarios requiring deep computation and complex reasoning. It's designed for tasks where performance and accuracy are paramount.
A lighter, cost-effective version of o3, tailored for developers who need robust reasoning capabilities but must consider operational costs. It provides a scalable solution for a wide array of applications.