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AITier

GPT-4o (Aug '24)

OpenAIGPTProprietary

Descripción

GPT-4o ('o' for 'omni') is a multimodal AI model that accepts text, audio, image, and video inputs, and generates text, audio, and image outputs. It matches GPT-4 Turbo performance on text and code, with improvements in non-English languages, vision, and audio understanding.

Fecha de lanzamiento
2024-08-06
Parámetros
—
Longitud del contexto
128K
Modalidades
image, pdf, text

Radar de capacidades

8
general
32
coding
40
reasoning
35
science
50
agents
90
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación345
31.0
AA
Ranking general487
23.0
AA
Ranking multimodal42
49.0
LS
Ciencia378
36.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)70.1%Aut.

Code

SWE-Bench Verified33.2%Aut.
SWE-Lancer32.6%Aut.
Aider-Polyglot30.7%Aut.
Aider-Polyglot Edit18.2%Aut.
SWE-Lancer (IC-Diamond subset)12.4%Aut.

Communication

Tau2 Retail63.4%Aut.
Multi-IF60.9%Aut.
TAU-bench Retail60.3%Aut.
Tau2 Airline45.5%Aut.
TAU-bench Airline42.8%Aut.
Multi-Challenge40.3%Aut.
Tau2 Telecom23.5%Aut.

Factuality

SimpleQA38.2%Aut.

Finance

MMLU85.7%Aut.
MMLU-Pro74.7%Aut.

General

MMMLU81.4%Aut.
IFEvalGoogle Research (2023)81.0%Aut.
MMMU72.2%Aut.
MMMU-Pro59.9%Aut.
Internal API instruction following (hard)29.2%Aut.

Healthcare

VideoMMMU61.2%Aut.

Image To Text

DocVQADocVQA (2020)92.8%Aut.

Language

COLLIE61.0%Aut.

Long Context

EgoSchema72.2%Aut.
ComplexFuncBench66.5%Aut.
OpenAI-MRCR: 2 needle 128k31.9%Aut.

Math

MathVista61.4%Aut.
AIME 202413.1%Aut.
Humanity's Last Exam5.3%Aut.

Multimodal

AI2D94.2%Aut.
ChartQAMasry et al. (2022)85.7%Aut.
CharXiv-D85.3%Aut.
CharXiv-R58.8%Aut.

Reasoning

Graphwalks BFS <128k41.7%Aut.
Graphwalks parents <128k35.4%Aut.
ERQA35.2%Aut.

Video

ActivityNet61.9%Aut.

Índices de evaluación AA

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
9.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Lcr(Artificial Analysis)
0.4
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Aime(MAA (Mathematical Association of America))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

Puntuaciones por categoría LLM Stats

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

Precios

Precio de entrada$2.5 / 1M tokens
Precio de salida$10 / 1M tokens
Precio mixto (3:1)$4.375 / 1M tokens
Precio de lectura caché$1.25 / 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

2 proveedores

Más barato: OpenAIMás caro: Azure
ProveedorEntradaSalida
1OpenAIMás barato
$0
$0.00001
2Azure
$0
$0.00001

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis