GPT-5.4 nano (medium)
OpenAIGPTProprietary
Descripción
GPT-5.4 nano is OpenAI's cheapest GPT-5.4-class model for simple high-volume tasks. It is optimized for classification, data extraction, ranking, and lightweight coding subagents, while preserving strong reasoning, multimodal understanding, and tool use for latency-sensitive workloads.
Fecha de lanzamiento
2026-03-17
Parámetros
—
Longitud del contexto
400K
Modalidades
image, text
Radar de capacidades
19
general
50
coding
76
reasoning
58
science
60
agents
85
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 95 | 35.0 | LS |
| Ranking de codificación | 211 | 64.0 | AA |
| Ranking general | 249 | 47.0 | AA |
| Ranking multimodal | 126 | 35.0 | LS |
| Ciencia | 249 | 51.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Finance Agent v2
38.2%
Toolathlon
35.5%Aut.
Communication
Tau2 Telecom
92.5%Aut.
Long Context
MRCR v2 (8-needle)
33.1%Aut.
Math
LiveBench
70.1%
Multimodal
OSWorld-Verified
39.0%Aut.
Reasoning
GPQANYU + Cohere + Anthropic (2023)
82.8%Aut.
Graphwalks BFS <128k
73.4%Aut.
MCP Atlas
56.1%Aut.
SWE-Bench ProPrinceton NLP (2024)
52.4%Aut.
Graphwalks parents <128k
50.8%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
46.3%Aut.
Humanity's Last Exam
24.3%Aut.
Vision
OmniDocBench 1.5
75.8%Aut.
MMMU-Pro
66.1%Aut.
Índices de evaluación AA
(Artificial Analysis)Gpqa(NYU + Cohere + Anthropic (2023))76.1
Lcr(Artificial Analysis)67.3
Ifbench(Google Research (2023))64.4
Tau2(Sierra + U Toronto + Vector Institute (2025))52.6
Terminalbench Hard(Stanford × Laude Institute (2026))33.3
Intelligence Index(Artificial Analysis)20.0
Hle(Center for AI Safety + Scale AI (2025))15.9
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Spatial Reasoning9
Vision6
Reasoning3
General2
Communication90
Physics80
Structured Output80
Biology80
Chemistry80
Multimodal70
Tool Calling60
Long Context50
Math50
Code50
Finance40
Agents40
Healthcare30
Precios
Precio de entrada$0.2 / 1M tokens
Precio de salida$1.25 / 1M tokens
Precio mixto (3:1)$0.463 / 1M tokens
Precio de lectura caché$0.02 / 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
1OpenAI
$0
$0
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