Se facturan los tokens realmente utilizados; la parte no utilizada de la reserva se reembolsa.
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10 créditos gratis (0,10 US$) cuando te registres con Google
Disponible 24 horas después del registro, hasta 5 ejecuciones por día y como máximo 2 créditos por ejecución. Otros métodos de inicio de sesión comienzan sin créditos. Suficiente para 62 ejecuciones de este modelo.
02
Acerca de GPT-5.4 Nano
ResumenA fecha de 23 de septiembre de 2026
GPT-5.4 Nano es un modelo de OpenAI en la categoría Multimodal. En Railwail, GPT-5.4 Nano cuesta 0,24 US$ por 1M tokens de entrada y 1,50 US$ por 1M tokens de salida. La ventana de contexto contiene 400.000 tokens, y una respuesta puede tener hasta 32.000 tokens.
GPT-5.4 nano is the lightest member of the GPT-5.4 family, released alongside Mini in March 2026. 400K context window, vision input, optimized for classification, data extraction, ranking and coding subagents that handle simpler supporting tasks. A major upgrade over GPT-5 nano, designed for the subagent era of agentic workflows where orchestrator models delegate to many cheap workers.
Fondo
Acerca de OpenAI
Fundado en 2015 · San Francisco, USA
OpenAI is the AI research lab founded in December 2015 by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever and others. The company shipped GPT-1 through GPT-5 and the unified GPT-5.x line (2025-2026). GPT-5.4 nano was released alongside GPT-5.4 mini on March 17, 2026 as the smallest, cheapest variant of the GPT-5.4 generation, aimed at the 'subagent era' of agentic workflows. OpenAI is backed by Microsoft and other major investors with a 2026 valuation above $300 billion.
Unified Transformer (small, optimized for high-throughput subagent workloads)
GPT-5.4 nano is the lightest member of the GPT-5.4 family, released March 17, 2026 as OpenAI's smallest and cheapest reasoning-capable model. It is heavily distilled from larger GPT-5.4 teacher models and trained to excel at classification, extraction, ranking and coding subagent tasks. Architecturally it retains the unified GPT-5.4 design: native text + image input, integrated 'Thinking' tier on demand, and full tool-use API including parallel tool calls. The 400K context window is unusually large for a nano-class model and supports long-document subagent work. Post-training emphasized reliability on structured outputs, JSON schema adherence and function calling, since nano-class models are typically deployed in deterministic pipelines.
Integrated 'Thinking' tier for occasional harder tasks
Strong on classification, extraction, ranking and coding subagent tasks
Native tool use, function calling and parallel tool calls
Reliable structured JSON output and schema adherence
Edge-grade latency suitable for real-time pipelines
Major upgrade over GPT-5 nano on every measured benchmark
Available in ChatGPT (free tier) and the OpenAI API
Best for: classification, data extraction, ranking, coding subagents under an orchestrator.
Entrenamiento y licencia
Heavily distilled from larger GPT-5.4 teacher models. Pretraining uses a multi-trillion-token mixture; post-training combines supervised fine-tuning, RLHF and RL against verifiable rewards with a strong emphasis on structured-output reliability. Knowledge cutoff approximately late 2025.
Licencia: Proprietary commercial license via OpenAI API and Azure OpenAI.
Pruebas de seguridad: Evaluated under OpenAI's Preparedness Framework with internal and external red-teaming.
Limitaciones conocidas
Below GPT-5.4 mini on hard reasoning and agentic coding benchmarks
Limited depth on niche or long-tail topics
No native audio or video input
Knowledge cutoff in late 2025
Thinking mode is available but slow relative to model size
curl https://railwail.com/api/v1/chat/completions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5-4-nano",
"messages": [
{
"role": "user",
"content": "Explain what a vector database is in two sentences."
}
],
"max_tokens": 1024
}'
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/api/v1",
)
completion = client.chat.completions.create(
model="gpt-5-4-nano",
messages=[
{
"role": "user",
"content": "Explain what a vector database is in two sentences.",
},
],
max_tokens=1024,
)
print(completion.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/api/v1",
});
const completion = await client.chat.completions.create({
model: "gpt-5-4-nano",
messages: [
{
role: "user",
content: "Explain what a vector database is in two sentences."
}
],
max_tokens: 1024
});
console.log(completion.choices[0].message.content);
// npm install railwail
import railwail from "railwail";
const rw = railwail(process.env.RAILWAIL_API_KEY);
const res = await rw.chat("gpt-5-4-nano", [
{ role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });
console.log(res.choices[0].message.content);
GPT-5.4 Nano es un modelo de OpenAI en la categoría Multimodal. En Railwail puedes llamarlo con una clave API a través de la API de Railwail.
¿Cuánto cuesta GPT-5.4 Nano en Railwail?
En Railwail, GPT-5.4 Nano cuesta 0,24 US$ por 1M tokens de entrada y 1,50 US$ por 1M tokens de salida. Se te cobra por lo que cada solicitud realmente consume. El uso se paga con créditos prepagados; 1 crédito equivale a 0,01 US$.
¿Cuál es la ventana de contexto de GPT-5.4 Nano?
La ventana de contexto de GPT-5.4 Nano contiene 400.000 tokens. Una respuesta puede tener hasta 32.000 tokens.
¿Qué velocidad tiene GPT-5.4 Nano?
Aún no hay suficientes ejecuciones medidas de GPT-5.4 Nano en Railwail para indicar un tiempo de ejecución. Depende de la entrada, la configuración y la carga en el proveedor.
¿Es GPT-5.4 Nano mejor que BLIP?
Depende de la tarea. GPT-5.4 Nano (OpenAI) y BLIP (Salesforce) son ambos modelos en la categoría Multimodal. La página de comparación muestra sus precios y especificaciones lado a lado.
Sí. GPT-5.4 Nano acepta imágenes como entrada además de texto.
¿Cómo uso GPT-5.4 Nano a través de la API?
Crea una clave API de Railwail y envía tu solicitud con el ID de modelo gpt-5-4-nano. Los ejemplos de código para curl, Python y JavaScript están en la sección API de esta página.
