Gefactureerd worden de werkelijk gebruikte tokens; het ongebruikte deel van de reservering wordt terugbetaald.
Nieuw hier?
10 gratis credits (US$Â 0,10) wanneer je je aanmeldt met Google
Bruikbaar 24 uur na aanmelding, tot 5 uitvoeringen per dag en maximaal 2 credits per uitvoering. Andere aanmeldmethoden starten zonder credits. Voldoende voor 62 uitvoeringen van dit model.
02
Over GPT-5.4 Nano
SamengevatPer 23 september 2026
GPT-5.4 Nano is een model van OpenAI in de categorie Multimodaal. Op Railwail kost GPT-5.4 Nano US$Â 0,24 per 1M invoertokens en US$Â 1,50 per 1M uitvoertokens. Het contextvenster bevat 400.000 tokens, en een antwoord kan tot 32.000 tokens lang zijn.
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.
Achtergrond
Over OpenAI
Opgericht 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.
Training & licentie
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.
Licentie: Proprietary commercial license via OpenAI API and Azure OpenAI.
Veiligheidstests: Evaluated under OpenAI's Preparedness Framework with internal and external red-teaming.
Bekende beperkingen
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 $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5-4-nano",
"messages": [
{
"role": "user",
"content": "Explain what a vector database is in two sentences."
}
],
"max_tokens": 1024
}'
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["RAILWAIL_API_KEY"],
base_url="https://railwail.com/api/v1",
)
completion = client.chat.completions.create(
model="gpt-5-4-nano",
messages=[
{
"role": "user",
"content": "Explain what a vector database is in two sentences.",
},
],
max_tokens=1024,
)
print(completion.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.RAILWAIL_API_KEY,
baseURL: "https://railwail.com/api/v1",
});
const completion = await client.chat.completions.create({
model: "gpt-5-4-nano",
messages: [
{
role: "user",
content: "Explain what a vector database is in two sentences."
}
],
max_tokens: 1024
});
console.log(completion.choices[0].message.content);
// npm install railwail
import railwail from "railwail";
const rw = railwail(process.env.RAILWAIL_API_KEY);
const res = await rw.chat("gpt-5-4-nano", [
{ role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });
console.log(res.choices[0].message.content);
GPT-5.4 Nano is een model van OpenAI in de categorie Multimodaal. Op Railwail kunt u het aanroepen met een API-sleutel via de Railwail-API.
Hoeveel kost GPT-5.4 Nano op Railwail?
Op Railwail kost GPT-5.4 Nano US$Â 0,24 per 1M invoertokens en US$Â 1,50 per 1M uitvoertokens. U betaalt voor wat elke aanvraag daadwerkelijk verbruikt. Gebruik wordt betaald met vooraf gekochte credits; 1 credit is gelijk aan US$Â 0,01.
Wat is het contextvenster van GPT-5.4 Nano?
Het contextvenster van GPT-5.4 Nano bevat 400.000 tokens. Een antwoord kan tot 32.000 tokens lang zijn.
Hoe snel is GPT-5.4 Nano?
Er zijn nog niet genoeg gemeten runs van GPT-5.4 Nano op Railwail om een uitvoeringstijd op te geven. Dit hangt af van de invoer, de instellingen en de belasting bij de provider.
Is GPT-5.4 Nano beter dan BLIP?
Dat hangt van de taak af. GPT-5.4 Nano (OpenAI) en BLIP (Salesforce) zijn beide modellen in de categorie Multimodaal. De vergelijkingspagina toont hun prijzen en specificaties naast elkaar.
Ja. GPT-5.4 Nano accepteert afbeeldingen als invoer naast tekst.
Hoe gebruik ik GPT-5.4 Nano via de API?
Maak een Railwail-API-sleutel aan en stuur uw aanvraag met de model-ID gpt-5-4-nano. Codevoorbeelden voor curl, Python en JavaScript staan in het API-gedeelte van deze pagina.
