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o3 Mini

by OpenAI · Released Jan 2025

31.2
avg score
Rank #241
Compare
Better than 23% of all models
Context
200K tokens (~100 books)
Input $/1M
$1.10
Output $/1M
$4.40
Type
text
License
Proprietary
Benchmarks
23 tested
Data as of
About

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...

Tested on 23 benchmarks · BenchGecko score 31.2. Top scores: Chatbot Arena Elo — Overall (1348.1%), MATH level 5 (96.5%), OTIS Mock AIME 2024-2025 (76.9%).

Looking for similar performance at lower cost?
Llama 3.1 8B Instruct scores 30.7 (98% as good) at $0.02/1M input · 98% cheaper
Capabilities
coding
36.4
#150 globally
reasoning
15.0
#151 globally
math
34.8
#174 globally
knowledge
41.8
#191 globally
general
23.4
#150 globally
Benchmark Scores
Compare All
Tested on 23 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
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Aider polyglot

Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.

60.4·
CadEval

Computer-aided design evaluation. Tests understanding of CAD concepts, 3D modeling, and engineering design principles.

54.0·
WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

43.7·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

34.5·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

7.4·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

3.0·
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

96.5·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

76.9·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
o3-mini
Specifications
  • Typetext
  • Context200K tokens (~100 books)
  • ReleasedJan 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.007
Available On
OpenAI logoOpenAI$1.10
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o3 Mini is a proprietary text AI model by OpenAI, released in January 2025. It has an average benchmark score of 31.2. Context window: 200K tokens.

Key facts · as of 2026-10-05

  • o3 Mini by OpenAI. BenchGecko score 31.2, rank 241 of 312 scored models (normalized average of public benchmark scores).
  • List price $1.10 input · $4.40 output per 1M tokens (as of 2026-10-05).
  • Sold by 1 provider (as of 2026-10-05): OpenAI $1.10 in / $4.40 out.

How to cite · data as of 2026-10-05

o3 Mini · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/o3-mini

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP