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:

72.2%

Latency:

53.65s

Performance by Benchmark

Benchmarks

Accuracy

Rankings

FinanceAgent

12.7%

( 17 / 24 )

12.7%

17 / 24

CorpFin

55.7%

( 22 / 39 )

55.7%

22 / 39

CaseLaw

78.5%

( 32 / 62 )

78.5%

32 / 62

ContractLaw

69.3%

( 13 / 69 )

69.3%

13 / 69

TaxEval

73.9%

( 21 / 49 )

73.9%

21 / 49

Math500

91.8%

( 8 / 45 )

91.8%

8 / 45

AIME

86.5%

( 1 / 39 )

86.5%

1 / 39

MGSM

91.6%

( 14 / 43 )

91.6%

14 / 43

LegalBench

70.9%

( 46 / 67 )

70.9%

46 / 67

MedQA

94.8%

( 4 / 47 )

94.8%

4 / 47

GPQA

75.0%

( 5 / 40 )

75.0%

5 / 40

MMLU Pro

78.7%

( 17 / 40 )

78.7%

17 / 40

LiveCodeBench

59.8%

( 5 / 40 )

59.8%

5 / 40

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

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