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.
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Apie GPT-5.4 Mini
TrumpaiNuo 2026 m. rugsėjo 23 d.
GPT-5.4 Mini yra OpenAI modelis iš Multimodalus kategorijos. Per Railwail GPT-5.4 Mini kainuoja 0,90 USD už 1M įvesties žetonų ir 5,40 USD už 1M išvesties žetonų. Konteksto langas saugo 400 000 žetonų, o vienas atsakymas gali būti iki 128 000 žetonų ilgio.
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.
Fonas
Apie OpenAI
Įkurta 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.
Parametrai
Undisclosed (estimated tens of billions of parameters, likely sparse MoE)
Kontekstas
400 000 žetonų
Galimybės
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.
Mokymas ir licencija
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.
Licencija: Proprietary commercial license via OpenAI API and Azure OpenAI.
Saugumo testai: Evaluated under OpenAI's Preparedness Framework with internal and external red-teaming and capability evaluations.
Žinomos ribotybės
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 yra OpenAI modelis iš Multimodalus kategorijos. Railwail platformoje galite jį iškviesti naudodami API raktą per Railwail API.
Kiek kainuoja GPT-5.4 Mini Railwail?
Per Railwail GPT-5.4 Mini kainuoja 0,90 USD už 1M įvesties žetonų ir 5,40 USD už 1M išvesties žetonų. Jums sąskaitoje pateikiama suma, kurią iš tikrųjų sunaudoja kiekvienas užklausa. Naudojimas apmokamas iš išanksto nupirktų kreditų; 1 kreditas = 0,01 USD.
Koks yra GPT-5.4 Mini konteksto langas?
GPT-5.4 Mini konteksto langas saugo 400 000 žetonų. Vienas atsakymas gali būti iki 128 000 žetonų ilgio.
Koks yra GPT-5.4 Mini greitis?
GPT-5.4 Mini Railwail platformoje dar nėra pakankamai išmatuotų vykdymų, kad būtų galima nurodyti vykdymo laiką. Jis priklauso nuo įvesties, nustatymų ir teikėjo apkrovos.
Ar GPT-5.4 Mini geriau nei BLIP?
Tai priklauso nuo užduoties. GPT-5.4 Mini (OpenAI) ir BLIP (Salesforce) yra abu modeliai iš Multimodalus kategorijos. Palyginimo puslapyje jų kainos ir specifikacijos rodomos viena šalia kitos.
Taip. GPT-5.4 Mini priima vaizdus kaip įvestį, be teksto.
Kaip naudoti GPT-5.4 Mini per API?
Sukurkite Railwail API raktą ir siųskite savo užklausą su modelio ID gpt-5-4-mini. Kodo pavyzdžiai curl, Python ir JavaScript yra šio puslapio API skyriuje.
