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AITier

GPT-4.1 mini

OpenAIGPTProprietary

Descripción

GPT-4.1 mini provides a balance between intelligence, speed, and cost. It's a significant leap in small model performance, even beating GPT-4o in many benchmarks while reducing latency and cost.

Fecha de lanzamiento
2025-04-14
Parámetros
—
Longitud del contexto
1.0M
Modalidades
image, pdf, text

Radar de capacidades

32
general
32
coding
54
reasoning
45
science
50
agents
85
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación325
34.0
AA
Ranking general295
44.0
AA
Ranking multimodal56
44.0
LS
Ciencia276
47.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)65.0%Aut.

Code

Aider-Polyglot34.7%Aut.
Aider-Polyglot Edit31.6%Aut.
SWE-Bench Verified23.6%Aut.

Communication

Multi-IF67.0%Aut.
TAU-bench Retail55.8%Aut.
TAU-bench Airline36.0%Aut.
Multi-Challenge35.8%Aut.

Finance

MMLU87.5%Aut.

General

IFEvalGoogle Research (2023)84.1%Aut.
MMMLU78.5%Aut.
MMMU72.7%Aut.
Internal API instruction following (hard)45.1%Aut.

Language

COLLIE54.6%Aut.

Long Context

ComplexFuncBench49.3%Aut.
OpenAI-MRCR: 2 needle 128k47.2%Aut.
OpenAI-MRCR: 2 needle 1M33.3%Aut.
Graphwalks BFS >128k15.0%Aut.
Graphwalks parents >128k11.0%Aut.

Math

MathVista73.1%Aut.
AIME 202449.6%Aut.
AIME 202540.2%Aut.
HMMT 202535.0%Aut.
Humanity's Last Exam3.7%Aut.

Multimodal

CharXiv-D88.4%Aut.
CharXiv-R56.8%Aut.

Reasoning

Graphwalks BFS <128k61.7%Aut.
Graphwalks parents <128k60.5%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
46.3
Coding Index(Artificial Analysis)
20.2
Intelligence Index(Artificial Analysis)
14.8
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.5
Aime 25(MAA (Mathematical Association of America))
0.5
Lcr(Artificial Analysis)
0.5
Aime(MAA (Mathematical Association of America))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Ifbench(Google Research (2023))
0.4
Terminalbench V2 1
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Tau Banking
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Legal
90
Finance
90
Instruction Following
80
Healthcare
80
Multimodal
70
Physics
70
Structured Output
70
Language
70
Biology
70
Chemistry
70
Vision
60
Math
50
Reasoning
50
General
50
Communication
50
Tool Calling
50
Writing
50
Spatial Reasoning
40
Long Context
30
Code
30
Frontend Development
20

Precios

Precio de entrada$0.4 / 1M tokens
Precio de salida$1.6 / 1M tokens
Precio mixto (3:1)$0.7 / 1M tokens
Precio de lectura caché$0.1 / 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

20 proveedores

Más barato: OpenAIMás caro: Cortecs
ProveedorEntradaSalida
1OpenAIMás barato
$0
$0
2Poe
$0.36
$1.4
3Helicone
$0.4
$1.6
4302.AI
$0.4
$1.6
5NanoGPT
$0.4
$1.6
6Abacus
$0.4
$1.6
7OpenRouter
$0.4
$1.6
8Kilo Gateway
$0.4
$1.6
9SAP AI Core
$0.4
$1.6
10Azure Cognitive Services
$0.4
$1.6
11Vercel AI Gateway
$0.4
$1.6
12LLM Gateway
$0.4
$1.6
13Azure
$0.4
$1.6
14NEAR AI Cloud
$0.4
$1.6
15OrcaRouter
$0.4
$1.6
16Merge Gateway
$0.4
$1.6
17Pioneer
$0.4
$1.6
18Ofox
$0.4
$1.6
19Impossibl
$0.4
$1.6
20Cortecs
$0.434
$1.704

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis