o3-mini
OpenAIOpenAI o-seriesProprietary
Descripción
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.
Fecha de lanzamiento
2025-01-31
Parámetros
—
Longitud del contexto
200K
Modalidades
text
Radar de capacidades
35
general
65
coding
83
reasoning
49
science
40
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 270 | 44.0 | AA |
| Ranking general | 296 | 44.0 | AA |
| Ciencia | 228 | 52.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
77.2%Aut.
Code
Aider-Polyglot
66.7%Aut.
Aider-Polyglot Edit
60.4%Aut.
SWE-Bench Verified
49.3%Aut.
SWE-Lancer
18.0%Aut.
SWE-Lancer (IC-Diamond subset)
7.4%Aut.
Communication
Multi-IF
79.5%Aut.
TAU-bench Retail
57.6%Aut.
Multi-Challenge
39.9%Aut.
TAU-bench Airline
32.4%Aut.
Factuality
SimpleQA
15.0%Aut.
Finance
MMLU
86.9%Aut.
General
IFEvalGoogle Research (2023)
93.9%Aut.
LiveBench
84.6%Aut.
Multilingual MMLU
80.7%Aut.
Internal API instruction following (hard)
50.0%Aut.
Language
COLLIE
98.7%Aut.
Long Context
OpenAI-MRCR: 2 needle 128k
18.7%Aut.
ComplexFuncBench
17.6%Aut.
Math
MATH
97.9%Aut.
MGSM
92.0%Aut.
AIME 2024
87.3%Aut.
FrontierMath
9.2%Aut.
Reasoning
Graphwalks parents <128k
58.3%Aut.
Graphwalks BFS <128k
51.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Intelligence Index(Artificial Analysis)19.2
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Aime(MAA (Mathematical Association of America))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.7
Scicode(UIUC + Argonne National Lab (2024))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Hle(Center for AI Safety + Scale AI (2025))0.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.1
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Writing100
Legal90
Instruction Following90
Language90
Finance90
Healthcare90
Math80
Physics80
Biology80
Chemistry80
Reasoning60
Structured Output60
General60
Spatial Reasoning50
Frontend Development50
Communication50
Code40
Tool Calling40
Long Context20
Factuality10
Precios
Precio de entrada$1.1 / 1M tokens
Precio de salida$4.4 / 1M tokens
Precio mixto (3:1)$1.925 / 1M tokens
Precio de lectura caché$0.55 / 1M tokens
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
1 proveedores
ProveedorEntradaSalida
1OpenAIPRINCIPAL
$1.1
$4.4
Comparar precios entre diferentes proveedores de API para este modelo.