OpenAI: o3 Mini

Overview

OpenAI o3 mini is a cost efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium". OpenRouter also offers the model slug `openai/o3 mini high` to default the parameter to "high". The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities. The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3 mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost.

Currency$USD

Input$1.10

Output$4.40

Context window200K

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Endpoint

POSThttps://api.indoxhub.com/api/v1/chat/completions

Configopenai/o3-mini

from indoxhub import Client
 
# Initialize the client
with Client(api_key="[LOGIN TO GET API KEY]") as client:
    # Generate a chat completion
    response = client.chat(
        messages=[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is machine learning and why is it important?"}],
        model="openai/o3-mini",
        temperature:"0.7"
    )
 
    # Print the response
    print(response["data"])

ResourcesDocumentation Python SDK