Released date

Model

Last Updated 1/31/2025

OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini.

Released Date: 1/31/2025

Avg. Accuracy:

78.8%

Latency:

45.17s

Performance by Benchmark

Benchmarks

Accuracy

Rankings

CorpFin

55.7%

( 10 / 24 )

55.7%

10 / 24

CaseLaw

78.5%

( 18 / 43 )

78.5%

18 / 43

ContractLaw

69.3%

( 10 / 50 )

69.3%

10 / 50

TaxEval

73.9%

( 7 / 30 )

73.9%

7 / 30

Math500

91.8%

( 2 / 26 )

91.8%

2 / 26

AIME

86.5%

( 1 / 22 )

86.5%

1 / 22

MGSM

91.6%

( 7 / 24 )

91.6%

7 / 24

LegalBench

70.9%

( 29 / 48 )

70.9%

29 / 48

MedQA

94.8%

( 2 / 28 )

94.8%

2 / 28

GPQA

75.0%

( 2 / 23 )

75.0%

2 / 23

MMLU Pro

78.7%

( 5 / 24 )

78.7%

5 / 24

Academic Benchmarks

Proprietary Benchmarks (contact us to get access)

Cost Analysis

Input Cost

$1.10 / M Tokens

Output Cost

$4.40 / M Tokens

Input Cost (per char)

$0.28 / M chars

Output Cost (per char)

N/A

Overview

O3 Mini represents OpenAI’s latest model in its reasoning series. Like o1-mini, it is a smallar, more cost-efficient model - OpenAI clames it is also faster than o1-mini.

New in this model, people can select the “level” of reasoning they want the model to do - low, medium, or high.

Key Specifications

Context Window: 200,000 tokens
Max Output Tokens: 100,000 tokens
Training Cutoff: October 2023
Pricing:
- Input: $1.10 / 1M tokens
- Output: $4.40 / 1M tokens

Performance by Benchmark

Cost Analysis

Overview

Key Specifications

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