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AITier

GPT-4.1 nano

OpenAIGPTProprietary

Descripción

GPT-4.1 nano is OpenAI's fastest and cheapest model available in the GPT-4.1 family. It delivers exceptional performance at a small size with its 1 million token context window. Ideal for tasks like classification or autocompletion.

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

Radar de capacidades

26
general
20
coding
36
reasoning
33
science
10
agents
85
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación445
18.0
AA
Ranking general442
29.0
AA
Ranking multimodal77
29.0
LS
Ciencia418
32.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)50.3%Aut.

Code

Aider-Polyglot9.8%Aut.
Aider-Polyglot Edit6.2%Aut.

Communication

Multi-IF57.2%Aut.
TAU-bench Retail22.6%Aut.
Multi-Challenge15.0%Aut.
TAU-bench Airline14.0%Aut.

Finance

MMLU80.1%Aut.

General

IFEvalGoogle Research (2023)74.5%Aut.
MMMLU66.9%Aut.
MMMU55.4%Aut.
Internal API instruction following (hard)31.6%Aut.

Language

COLLIE42.5%Aut.

Long Context

OpenAI-MRCR: 2 needle 128k36.6%Aut.
OpenAI-MRCR: 2 needle 1M12.0%Aut.
ComplexFuncBench5.7%Aut.
Graphwalks parents >128k5.6%Aut.
Graphwalks BFS >128k2.9%Aut.

Math

MathVista56.2%Aut.
AIME 202429.4%Aut.

Multimodal

CharXiv-D73.9%Aut.
CharXiv-R40.5%Aut.

Reasoning

Graphwalks BFS <128k25.0%Aut.
Graphwalks parents <128k9.4%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
24.0
Coding Index(Artificial Analysis)
11.1
Intelligence Index(Artificial Analysis)
9.6
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.3
Ifbench(Google Research (2023))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.3
Aime 25(MAA (Mathematical Association of America))
0.2
Aime(MAA (Mathematical Association of America))
0.2
Lcr(Artificial Analysis)
0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0
Terminalbench V2 1
0.0
Tau Banking
0.0

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Legal
80
Finance
80
Instruction Following
70
Healthcare
70
Math
60
Multimodal
60
Language
60
Vision
60
Physics
50
Structured Output
50
Biology
50
Chemistry
50
Writing
40
Reasoning
30
General
30
Communication
30
Long Context
10
Spatial Reasoning
10
Code
10
Tool Calling
10

Precios

Precio de entrada$0.1 / 1M tokens
Precio de salida$0.4 / 1M tokens
Precio mixto (3:1)$0.175 / 1M tokens
Precio de lectura caché$0.025 / 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

19 proveedores

Más barato: OpenAIMás caro: Cortecs
ProveedorEntradaSalida
1OpenAIMás barato
$0
$0
2SAP AI Core
$0.08
$0.26
3Poe
$0.09
$0.36
4Helicone
$0.1
$0.4
5302.AI
$0.1
$0.4
6NanoGPT
$0.1
$0.4
7Abacus
$0.1
$0.4
8OpenRouter
$0.1
$0.4
9Kilo Gateway
$0.1
$0.4
10Azure Cognitive Services
$0.1
$0.4
11Vercel AI Gateway
$0.1
$0.4
12LLM Gateway
$0.1
$0.4
13Azure
$0.1
$0.4
14NEAR AI Cloud
$0.1
$0.4
15OrcaRouter
$0.1
$0.4
16Merge Gateway
$0.1
$0.4
17Pioneer
$0.1
$0.4
18Impossibl
$0.1
$0.4
19Cortecs
$0.111
$0.434

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis