OpenAI · Efficient
OpenAI o3-mini (High)
OpenAI's o3-mini reasoning model with reasoning effort set to high.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Reasoning effort
- low · medium · high
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $1.10
- Output
- $4.40
- Cache read
- $0.55
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 100K
Side by side
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
12.5
Better than 27% of 326 scored models
Reasoning and knowledge
Humanity’s Last Exam
7.9%Expert-level questions across academic fields
Better than 27% of 323 scored models
GPQA Diamond
74.8%Graduate-level science questions
Better than 35% of 291 scored models
MMLU-Pro
79.1%Multi-subject knowledge and reasoning
Better than 45% of 132 scored models
Coding
LiveCodeBench
71.7%Recent competitive programming problems
Better than 72% of 129 scored models
Math
AIME
77.0%Competition mathematics
Better than 73% of 72 scored models
MATH-500
97.3%Competition math problems
Better than 83% of 73 scored models
Legacy evaluations
Terminal-Bench Hard
6.8%Earlier terminal task suite
Better than 15% of 212 scored models
τ²-Bench Telecom
28.7%Tool use in a customer-support simulation
Better than 20% of 214 scored models
Scores from Artificial Analysis, updated Oct 26, 2026.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/o3-mini-high",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="openai/o3-mini-high",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
Related models
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