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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const response = await client.responses.create({
model: 'openai/gpt-5-4-pro',
input: 'Write a one-sentence bedtime story about a unicorn.',
});
console.log(response.output_text);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.responses.create(
model="openai/gpt-5-4-pro",
input="Write a one-sentence bedtime story about a unicorn."
)
print(response.output_text)
GPT‑5.4 Pro
A reasoning-optimized large language model built for high-stakes analytical work, long-form document processing, and multi-step problem solving, where accuracy actually matters.
What is GPT-5.4-Pro API?
A specialized iteration in OpenAI's GPT-5 family, engineered specifically around reasoning depth and task accuracy. It sits within the GPT-5 lineage as a performance-tuned variant, the "Pro" designation reflects optimizations made specifically for professional and technical use cases that demand more precision than baseline GPT-5 offers.
API Pricing
- Input: $39.00
- Output: $234.00
Key Features of GPT‑5.4‑Pro
Deep Multi‑Step Reasoning
GPT‑5.4‑Pro is optimized for analytical and logical reasoning, allowing it to break down problems, handle nested conditions, and produce coherent multi‑stage solutions, ideal for tasks like algorithmic design, legal drafting, and complex research synthesis.
Precision Coding and Debugging
With support for dozens of programming languages, the model delivers more accurate code completions, bug detection, and refactoring suggestions. GPT‑5.4‑Pro can analyze entire codebases within long contexts, improving project scalability and maintainability.
Extended Context Retention
Leveraging OpenAI’s new long‑context transformer architecture, the model maintains focus across documents, conversations, or sessions spanning hundreds of thousands of tokens, ensuring continuity and nuanced understanding in ongoing projects.
Adaptive Communication Style
Whether drafting academic reports, business proposals, or creative narratives, GPT‑5.4‑Pro automatically adjusts tone, structure, and vocabulary to match the user’s desired output, offering natural, human‑like fluency in over 50 languages.
Enterprise‑Grade Reliability
Built for professional environments, GPT‑5.4‑Pro integrates robust security protocols, scalable API access, and customizable model behavior. Organizations can tune it for domain‑specific reasoning, compliance, or internal data privacy needs.
Why Choose GPT‑5.4‑Pro?
GPT‑5.4‑Pro redefines productivity for developers, analysts, researchers, and content creators alike. Its enhanced reasoning engine is capable of connecting ideas across sources, identifying logical gaps, and generating insights that feel truly collaborative.
Users gain access to:
- Higher accuracy in reasoning and factual recall compared to previous GPT models.
- Faster response times optimized for professional workflows.
- Broader multimodal integration, supporting future expansion into vision and audio understanding.
Where it fits best
Real-world use cases where GPT-5.4-Pro's reasoning optimizations translate to measurable value.
Legal & contract analysis
Reading lengthy agreements, flagging ambiguous clauses, and summarizing obligations across multiple documents without losing precision on the details that matter most.
Software development support
Full-codebase reasoning, architecture reviews, and debugging sessions where the problem spans many files — not just isolated function calls.
Research synthesis
Compiling findings from multiple sources, reconciling conflicting data, and producing coherent summaries for technical or non-technical audiences.
Financial modeling assistance
Working through multi-step quantitative problems, checking model logic, and translating assumptions into structured outputs or documentation.
Technical writing
Drafting documentation, API references, or specifications that require sustained accuracy across long-form content where small errors compound.
Enterprise automation workflows
Agentic pipelines where the model must follow complex multi-step instructions reliably, handle edge cases, and produce consistent structured outputs at scale.
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