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o3-mini

OpenAIOpenAI o-seriesProprietary

Description

A smaller variant of O3, expected to offer enhanced multimodal capabilities, improved reasoning, and more efficient resource utilization compared to previous models while maintaining strong performance on core tasks.

Release Date
2025-01-31
Parameters
—
Context Length
200K
Modalities
text

Capability Radar

32
general
72
coding
83
reasoning
54
science
40
agents
0
multimodal

Rankings

Domain#RankScoreSource
Code Ranking341
44.0
AA
General Ranking354
38.0
AA
Science333
43.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)93.9%SR
Multi-IF79.5%SR
TAU-bench Retail57.6%SR
Multi-Challenge39.9%SR

Factuality

SimpleQA15.0%SR

General

MMLU86.9%SR
Multilingual MMLU80.7%SR
Aider-Polyglot66.7%SR
Aider-Polyglot Edit60.4%SR
Internal API instruction following (hard)50.0%SR

Language

COLLIE98.7%SR

Long Context

OpenAI-MRCR: 2 needle 128k18.7%SR
ComplexFuncBench17.6%SR

Math

MATH97.9%SR
MGSM92.0%SR
AIME 202487.3%SR
LiveBench84.6%SR
FrontierMath9.2%SR

Reasoning

GPQANYU + Cohere + Anthropic (2023)77.2%SR
Graphwalks parents <128k58.3%SR
Graphwalks BFS <128k51.0%SR
SWE-Bench Verified49.3%SR
TAU-bench Airline32.4%SR
SWE-Lancer18.0%SR
SWE-Lancer (IC-Diamond subset)7.4%SR

AA Evaluation Indices

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
97.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
79.1
Aime(MAA (Mathematical Association of America))
77.0
Gpqa(NYU + Cohere + Anthropic (2023))
74.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))
71.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
28.7
Intelligence Index(Artificial Analysis)
12.5
Hle(Center for AI Safety + Scale AI (2025))
7.9
Terminalbench Hard(Stanford × Laude Institute (2026))
6.8

LLM Stats Category Scores

(LLM Stats (zeroeval))
Writing
100
Instruction Following
90
Language
90
Legal
90
Finance
90
Healthcare
90
Math
80
Physics
80
Biology
80
Chemistry
80
Chat
70
Reasoning
60
Structured Output
60
General
60
Spatial Reasoning
50
Frontend Development
50
Communication
50
Code
40
Tool Calling
40
Long Context
20
Factuality
10

Pricing

Input Price$1.1 / 1M tokens
Output Price$4.4 / 1M tokens
Blended Price (3:1)$1.925 / 1M tokens
Cache Read Price$0.55 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

1 providers

ProviderInputOutput
1OpenAIPRIMARY
$1.1
$4.4

Compare pricing across different API providers for this model.

External Sources