o4-mini (high)
OpenAIOpenAI o-seriesProprietary
Descripción
o4-mini is OpenAI's latest small o-series model, optimized for fast, effective reasoning with exceptionally efficient performance in coding and visual tasks. It is faster and more affordable than o3.
Fecha de lanzamiento
2025-04-16
Parámetros
—
Longitud del contexto
200K
Modalidades
image, text
Radar de capacidades
42
general
77
coding
92
reasoning
55
science
60
agents
85
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 83 | 43.0 | LS |
| Ranking de codificación | 144 | 63.0 | AA |
| Ranking general | 150 | 61.0 | AA |
| Ranking multimodal | 52 | 45.0 | LS |
| Ciencia | 142 | 62.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
BrowseCompOpenAI (2025)
51.5%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
81.4%Aut.
Code
Aider-Polyglot
68.9%Aut.
SWE-Bench Verified
68.1%Aut.
Aider-Polyglot Edit
58.2%Aut.
Communication
TAU-bench Retail
71.8%Aut.
TAU-bench Airline
49.2%Aut.
Multi-Challenge
43.0%Aut.
General
MMMU
81.6%Aut.
Math
AIME 2024
93.4%Aut.
AIME 2025
92.7%Aut.
MathVista
84.3%Aut.
Humanity's Last Exam
14.7%Aut.
Multimodal
CharXiv-R
72.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)90.7
Intelligence Index(Artificial Analysis)26.1
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Aime(MAA (Mathematical Association of America))0.9
Aime 25(MAA (Mathematical Association of America))0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Ifbench(Google Research (2023))0.7
Lcr(Artificial Analysis)0.6
Tau2(Sierra + U Toronto + Vector Institute (2025))0.6
Scicode(UIUC + Argonne National Lab (2024))0.5
Hle(Center for AI Safety + Scale AI (2025))0.2
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Multimodal80
Physics80
Healthcare80
Biology80
Chemistry80
Math70
Reasoning70
Frontend Development70
General70
Code70
Tool Calling60
Vision60
Search50
Agents50
Communication50
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$0.275 / 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
16 proveedores
Más barato: PoeMás caro: Impossibl
ProveedorEntradaSalida
1PoeMás barato
$0.99
$4
2OpenAIPRINCIPAL
$1.1
$4.4
3NanoGPT
$1.1
$4.4
4Abacus
$1.1
$4.4
5OpenRouter
$1.1
$4.4
6Jiekou.AI
$1.1
$4.4
7Kilo Gateway
$1.1
$4.4
8Cloudflare AI Gateway
$1.1
$4.4
9Helicone
$1.1
$4.4
10Azure Cognitive Services
$1.1
$4.4
11Vercel AI Gateway
$1.1
$4.4
12LLM Gateway
$1.1
$4.4
13Azure
$1.1
$4.4
14NEAR AI Cloud
$1.1
$4.4
15Merge Gateway
$1.1
$4.4
16Impossibl
$1.1
$4.4
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