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o3 Mini (batch)

by OpenAI · Released Jan 2025

32.4
avg score
Rank #249
Compare
Better than 24% of all models
Context
200K tokens (~100 books)
Input $/1M
$0.55
Output $/1M
$2.20
Type
text
License
Proprietary
Benchmarks
20 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 20 benchmarks · BenchGecko score 32.4. Top scores: MATH level 5 (96.5%), OTIS Mock AIME 2024-2025 (76.9%), GPQA diamond (72.3%).

Looking for similar performance at lower cost?
Gemini 2.5 Flash Lite scores 32.5 (100% as good) at $0.10/1M input · 82% cheaper
Capabilities
coding
36.4
#157 globally
reasoning
15.0
#166 globally
math
48.2
#137 globally
knowledge
42.0
#204 globally
general
23.4
#166 globally
Benchmark Scores
Compare All
Tested on 20 benchmarks · Ranked across 5 categories
Score Distribution (all 326 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-batch
Specifications
  • Typetext
  • Context200K tokens (~100 books)
  • ReleasedJan 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.003
Available On
OpenAI logoOpenAI$0.55
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o3 Mini (batch) is a proprietary text AI model by OpenAI, released in January 2025. It has an average benchmark score of 32.4. Context window: 200K tokens.

Key facts · as of 2026-11-11

  • o3 Mini (batch) by OpenAI. BenchGecko score 32.4, rank 249 of 326 scored models (normalized average of public benchmark scores).
  • List price $0.55 input · $2.20 output per 1M tokens (as of 2026-11-11).
  • Sold by 1 provider (as of 2026-11-11): OpenAI $0.55 in / $2.20 out.

How to cite · data as of 2026-11-11

o3 Mini (batch) · benchmarks, pricing and providers. BenchGecko, data as of 2026-11-11. https://benchgecko.ai/model/o3-mini-batch

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