NOUMENOpen app
NOUMEN

OpenAI · Efficient

OpenAI o3-mini (Low)

Added Jan 31, 2026

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

OpenAI's o3-mini reasoning model with reasoning effort set to low.

  • 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 (Low) compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

OpenAI o3-mini (Low)OpenAIThis modelGemini 2.5 Flash Preview (09/2025)GoogleRemove
ProviderOpenAIGoogle
Discovery tierEfficientEfficient
AddedJan 31, 2026Sep 25, 2025
Limits
Context window200K1.05MBest
Max output100KBest65.54K
Pricing, USD per 1M tokens
Input$1.10$0.30Best
Output$4.40$2.50Best
Cache read$0.55$0.03Best
Performance
Request success (24h)—98.4%
Benchmark indexes
Intelligence Index12.5Best12.4
Math Index—56.7
Capabilities
ReasoningYesYes
ToolsYesYes
VisionNoYes
Structured outputYesYes
PDF inputNoYes
Audio inputNoYes
Reasoning effortlow, medium, highlow, medium, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • OpenAI o3-mini (Low)
  • Gemini 2.5 Flash Preview (09/2025)

Intelligence Index

  • OpenAI o3-mini (Low)12.5
  • Gemini 2.5 Flash Preview (09/2025)12.4

OpenAI o3-mini (Low): Better than 27% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • OpenAI o3-mini (Low): —
    • Gemini 2.5 Flash Preview (09/2025): 56.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • OpenAI o3-mini (Low): —
    • Gemini 2.5 Flash Preview (09/2025): 60.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • OpenAI o3-mini (Low): 7.9%
    • Gemini 2.5 Flash Preview (09/2025): 8.7%Top

  • GPQA Diamond

    Graduate-level science questions

    • OpenAI o3-mini (Low): 74.8%
    • Gemini 2.5 Flash Preview (09/2025): 76.6%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • OpenAI o3-mini (Low): 79.1%
    • Gemini 2.5 Flash Preview (09/2025): 83.6%Top

  • IFBench

    Following precise output instructions

    • OpenAI o3-mini (Low): —
    • Gemini 2.5 Flash Preview (09/2025): 43.5%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • OpenAI o3-mini (Low): 71.7%Top
    • Gemini 2.5 Flash Preview (09/2025): 62.5%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • OpenAI o3-mini (Low): —
    • Gemini 2.5 Flash Preview (09/2025): 56.7%

  • AIME

    Competition mathematics

    • OpenAI o3-mini (Low): 77.0%
    • Gemini 2.5 Flash Preview (09/2025): —

  • MATH-500

    Competition math problems

    • OpenAI o3-mini (Low): 97.3%
    • Gemini 2.5 Flash Preview (09/2025): —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • OpenAI o3-mini (Low): 6.8%
    • Gemini 2.5 Flash Preview (09/2025): 14.4%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • OpenAI o3-mini (Low): 28.7%Top
    • Gemini 2.5 Flash Preview (09/2025): 28.4%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • OpenAI o3-mini (Low): —
    • Gemini 2.5 Flash Preview (09/2025): 60.0%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
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-low",
    "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-low",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.