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
OpenAI o3-mini (High) compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| OpenAI o3-mini (High)OpenAIThis model | GPT 6 Luna ProOpenAIRemove | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Discovery tier | Efficient | Efficient |
| Added | Jan 1, 2024 | Sep 22, 2026 |
| Limits | ||
| Context window | 200K | 1.05MBest |
| Max output | 100K | 128KBest |
| Average output | — | 2.8K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.10 | $0.10Best |
| Output | $4.40 | $0.50Best |
| Cache read | $0.55 | $0.01Best |
| Cache write | — | $0.13 |
| Performance | ||
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 12.5 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | Yes | Yes |
| PDF input | No | Yes |
| Reasoning effort | low, medium, high | low, medium, high, xhigh, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- OpenAI o3-mini (High)
- GPT 6 Luna Pro
Intelligence Index
- OpenAI o3-mini (High)12.5
- GPT 6 Luna Pro—
OpenAI o3-mini (High): Better than 27% of 326 scored models
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- OpenAI o3-mini (High): 7.9%
- GPT 6 Luna Pro: —
GPQA Diamond
Graduate-level science questions
- OpenAI o3-mini (High): 74.8%
- GPT 6 Luna Pro: —
MMLU-Pro
Multi-subject knowledge and reasoning
- OpenAI o3-mini (High): 79.1%
- GPT 6 Luna Pro: —
Coding
LiveCodeBench
Recent competitive programming problems
- OpenAI o3-mini (High): 71.7%
- GPT 6 Luna Pro: —
Math
AIME
Competition mathematics
- OpenAI o3-mini (High): 77.0%
- GPT 6 Luna Pro: —
MATH-500
Competition math problems
- OpenAI o3-mini (High): 97.3%
- GPT 6 Luna Pro: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- OpenAI o3-mini (High): 6.8%
- GPT 6 Luna Pro: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- OpenAI o3-mini (High): 28.7%
- GPT 6 Luna Pro: —
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
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