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:

73.9%

Latency:

32.05s

Performance by Benchmark

Benchmarks

Accuracy

Rankings

LegalBench

70.9%

( 25 / 43 )

70.9%

25 / 43

CorpFin

55.7%

( 8 / 19 )

55.7%

8 / 19

CaseLaw

78.5%

( 15 / 39 )

78.5%

15 / 39

ContractLaw

69.3%

( 10 / 47 )

69.3%

10 / 47

TaxEval

73.9%

( 7 / 25 )

73.9%

7 / 25

MedQA

94.8%

( 2 / 24 )

94.8%

2 / 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)

$0.24 / 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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