



const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'openai/gpt-5-2',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="openai/gpt-5-2",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")

GPT-5.2 API Mastery
The pinnacle of reasoning, coding, and long-context processing for enterprise-grade AI ecosystems.
The Evolution of Cognitive Compute
According to the original documentation "GPT-5.2 API Overview", GPT-5.2 represents OpenAI's latest advancement in large language models. It has been meticulously engineered for deeper analytical work and superior handling of complex, real-world tasks that demand a higher degree of cognitive precision.
While previous iterations focused on breadth, GPT-5.2 prioritizes depth. It excels at coding assistance, long-document summarization, and step-by-step logic breakdowns, providing structured support for high-stakes planning and decision-making.
Technical Specifications & Architecture
Model Engine
Transformer-based generative LLM with Adaptive Attention Mechanisms and optimized kernels for peak efficiency.
Context Window
Up to 64K tokens of extended context, enabling massive document uploads and long-turn chat stability.
Dataset Breadth
Curated from scientific literature, high-density code repos, and RLHF-aligned dialogue corpora.
"Inference enhancements including optimized transformer kernels contribute to a 15% reduction in energy consumption compared to standard GPT-5.0."
Performance Benchmarks
Quantifiable improvements across critical AI performance vectors.
Deep Dive: Quality & Feature Upgrades
Adaptive Reasoning Mode
A "silent" multi-step cognitive pass occurs before the final output, significantly reducing internal contradictions and hallucination rates in math and logic.
Enhanced File Citations
When analyzing uploaded documents, GPT-5.2 provides context-aware summaries with precise, verifiable citations to the source material.
Multimodal Compatibility
Seamlessly bridge vision, speech, and text. The API allows for richer input/output pipelines, perfect for interactive AI agents.
Safe Output Layers
Refined RLHF (Reinforcement Learning from Human Feedback) ensures world-class guardrails against toxic content or model drift.
Competitive Pricing Structure
Input Tokens
$1.8375 / 1M
Output Tokens
$14.70 / 1M
Comparative Advantage
vs GPT-5.1
GPT-5.2 delivers dramatic gains in long-context accuracy (77% vs. 29.6% at 256K context testing) and tool reliability. Hallucinations are recorded as 30% less frequent than the 5.1 baseline.
vs GPT-5.0
Includes 20% faster inference speeds with a significant reduction in energy overhead. Features superior handling of abstract reasoning and complex multi-turn dialogues.
Implementation Example
const { OpenAI } = require('openai'); const api = new OpenAI({ baseURL: 'https://api.ai.cc/v1', apiKey: '' , }); const main = async () => { const result = await api.chat.completions.create({ model: 'openai/gpt-5-2', messages: [ { role: 'system', content: 'You are an AI assistant who knows everything.', }, { role: 'user', content: 'Tell me, why is the sky blue?' } ], }); const message = result.choices[0].message.content; console.log(Assistant: ${message}); }; main();
Practical Impact
The technical innovations within GPT-5.2 empower a new class of high-precision AI assistance. For enterprises, this means more reliable automated customer workflows; for developers, it translates to near-human code review; and for researchers, it provides an unparalleled tool for data synthesis and hypothetical modeling.
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