OpenAI's efficient mid-tier model. 2x faster than its predecessor, 400k context, approaches GPT-5.4 quality on SWE-Bench Pro at a fraction of the cost.
Se factureaza tokenurile efectiv utilizate; partea nefolosita a rezervării este rambursată.
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10 credite gratuite (0,10 USD) când te înregistrezi cu Google
Utilizabil 24 ore după înregistrare, până la 5 rulări pe zi și maximum 2 credite pe rulare. Alte metode de conectare încep fără credite. Suficient pentru 17 rulări ale acestui model.
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Despre GPT-5.4 Mini
Pe scurtDin 23 septembrie 2026
GPT-5.4 Mini este un model de OpenAI din categoria Multimodal. Pe Railwail, GPT-5.4 Mini costă 0,90 USD per 1M tokeni de intrare și 5,40 USD per 1M tokeni de ieșire. Fereastra de context conține 400.000 token-uri, iar un răspuns poate fi lung de până la 128.000 token-uri.
Released March 17, 2026, GPT-5.4 mini brings the strengths of GPT-5.4 to a smaller, faster model designed for the subagent era. 400K context, vision input, integrated tool use, and 2x faster latency than GPT-5 mini. Significant gains on coding, reasoning, multimodal understanding and tool use; approaches the full GPT-5.4 on SWE-Bench Pro and OSWorld-Verified. Recommended for subagent workflows, customer-facing chat, coding assistants and high-volume API workloads.
Fundal
Despre OpenAI
Fondat 2015 · San Francisco, USA
OpenAI was founded in December 2015 as a non-profit AI research organisation and transitioned to a capped-profit structure in 2019. The GPT lineage spans GPT-1 (2018) through GPT-5 (mid-2025) and the GPT-5.x family (2025-2026) which unified the o-series reasoning models with the general-purpose GPT line. GPT-5.4 mini and nano were announced on March 17, 2026 as the small-model tier of the GPT-5.4 generation. OpenAI is backed by Microsoft, Khosla, Andreessen Horowitz, Thrive Capital and Sequoia, with total funding above $60 billion and a 2026 valuation above $300 billion.
Unified Transformer (mid-tier, with integrated 'Thinking' tier)
GPT-5.4 mini was announced March 17, 2026 alongside GPT-5.4 nano as the small-model tier of the GPT-5.4 generation. It is a smaller variant of the unified GPT-5.4 architecture, retaining native text + image input, an integrated 'Thinking' tier for reasoning on demand, and the full tool-use API, while running more than 2x faster than GPT-5 mini at significantly lower cost. Pretraining used a similar multi-trillion-token mixture as GPT-5.4 with heavier distillation pressure from larger teacher models. Post-training included supervised fine-tuning, RLHF and reinforcement learning against verifiable rewards on coding, reasoning and tool-use trajectories. On evaluations such as SWE-Bench Pro and OSWorld-Verified, GPT-5.4 mini approaches the performance of full GPT-5.4 while costing roughly one-third as much.
Parametri
Undisclosed (estimated tens of billions of parameters, likely sparse MoE)
Context
400.000 tokeni
Capabilități
2x faster than GPT-5 mini at lower cost
Approaches full GPT-5.4 on SWE-Bench Pro and OSWorld-Verified
400K token context window
Native multimodal input: text and images
Integrated 'Thinking' tier activates for harder reasoning
Native tool use, function calling and parallel tool calls
Designed for the subagent era: works well under an orchestrator
Strong coding, classification and extraction performance
Available in ChatGPT, Codex CLI and the OpenAI API
Regional processing endpoints available with 10% uplift
Best for: subagent workflows, customer-facing chat, coding assistants, high-volume API workloads.
Antrenament & licență
Pretrained on a multi-trillion-token mixture of web text, code, scientific papers and licensed data; heavy distillation from larger GPT-5.4 teacher models. Post-training uses supervised fine-tuning, RLHF and RL against verifiable rewards. Knowledge cutoff approximately late 2025.
Licență: Proprietary commercial license via OpenAI API and Azure OpenAI.
Teste de siguranță: Evaluated under OpenAI's Preparedness Framework with internal and external red-teaming and capability evaluations.
Limitări cunoscute
Below full GPT-5.4 on the hardest agentic and reasoning benchmarks
Smaller context window than GPT-5.4 (400K vs 1.05M)
No native audio or video input
Knowledge cutoff in late 2025
Thinking mode adds latency and token cost when enabled
curl https://railwail.com/api/v1/chat/completions \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5-4-mini",
"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-mini",
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-mini",
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-mini", [
{ 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 Mini este un model de OpenAI din categoria Multimodal. Pe Railwail îl poți apela cu o cheie API prin Railwail API.
Cât costă GPT-5.4 Mini pe Railwail?
Pe Railwail, GPT-5.4 Mini costă 0,90 USD per 1M tokeni de intrare și 5,40 USD per 1M tokeni de ieșire. Ți se percepe taxa pentru ceea ce fiecare cerere folosește efectiv. Utilizarea se plătește din credite prepay; 1 credit egal cu 0,01 USD.
Care este fereastra de context a GPT-5.4 Mini?
Fereastra de context a GPT-5.4 Mini conține 400.000 token-uri. Un răspuns poate fi lung de până la 128.000 token-uri.
Cât de rapid este GPT-5.4 Mini?
Nu sunt suficiente rulări măsurate ale GPT-5.4 Mini pe Railwail încă pentru a indica un timp de rulare. Depinde de intrare, de setări și de sarcina la furnizor.
Este GPT-5.4 Mini mai bun decât BLIP?
Depinde de sarcină. GPT-5.4 Mini (OpenAI) și BLIP (Salesforce) sunt ambele modele din categoria Multimodal. Pagina de comparație arată prețurile și specificațiile lor una lângă alta.
Da. GPT-5.4 Mini acceptă imagini ca intrare, pe lângă text.
Cum folosesc GPT-5.4 Mini prin API?
Creează o cheie Railwail API și trimite cererea cu ID-ul modelului gpt-5-4-mini. Exemple de cod pentru curl, Python și JavaScript sunt în secțiunea API a acestei pagini.
