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:

73.3%

Latency:

53.64s

Performance by Benchmark

Benchmarks

Accuracy

Rankings

FinanceAgent

12.7%

( 15 / 22 )

12.7%

15 / 22

CorpFin

55.7%

( 18 / 35 )

55.7%

18 / 35

CaseLaw

78.5%

( 25 / 55 )

78.5%

25 / 55

ContractLaw

69.3%

( 12 / 62 )

69.3%

12 / 62

TaxEval

73.9%

( 16 / 42 )

73.9%

16 / 42

Math500

91.8%

( 6 / 38 )

91.8%

6 / 38

AIME

86.5%

( 1 / 34 )

86.5%

1 / 34

MGSM

91.6%

( 10 / 36 )

91.6%

10 / 36

LegalBench

70.9%

( 40 / 60 )

70.9%

40 / 60

MedQA

94.8%

( 4 / 40 )

94.8%

4 / 40

GPQA

75.0%

( 5 / 35 )

75.0%

5 / 35

MMLU Pro

78.7%

( 13 / 35 )

78.7%

13 / 35

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)

$0.29 / 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

Join our mailing list to receive benchmark updates on