A cost-efficient language model from OpenAI, optimized for STEM reasoning tasks, especially in science, mathematics, and coding. Supports the `reasoning_effort` parameter for adjustable thinking time and features significant improvements over its predecessor, with better performance on complex questions and lower latency and cost.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Input Tokens (1M)
$0.55
Output Tokens (1M)
$2.20
Capabilities
Input Modalities
Text
File
Output Modalities
Text
Supported Parameters
Available parameters for API requests
Frequency Penalty
Function Call
Functions
Logit Bias
Max Completion Tokens
Parallel Tool Calls
Prediction
Presence Penalty
Reasoning Effort
Response Format
Stop
Temperature
Tool Choice
Tools
Top P
Web Search Options
Usage Analytics
Token usage across the last 30 active days
Uptime
Reliability over the last 7 days
Throughput
Time-To-First-Token (TTFT)
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(
base_url="https://api.naga.ac/v1",
api_key="YOUR_API_KEY",
)
resp = client.chat.completions.create(
model="o3-mini-2025-01-31",
messages=[
{{"role": "user", "content": "What's 2+2?"}}
],
temperature=0.2,
)
print(resp.choices[0].message.content)