



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
GPT-5.2 is OpenAI’s most advanced model series to date, engineered specifically for high-stakes knowledge work.
GPT-5.2 API Overview
GPT-5.2 represents OpenAI's latest advancement in large language models, engineered for deeper analytical work and superior handling of complex, real-world tasks. It excels at coding assistance, long-document summarization, precise analysis of uploaded files, step-by-step math and logic breakdowns, and structured support for planning and decision-making with enhanced clarity and actionable detail.
This model builds on prior iterations with refined reasoning chains and output polish, making it ideal for professional workflows requiring reliability and depth across technical and cognitive domains.
Technical Specifications
- Architecture: Transformer-based generative LLM
- Context Length: Up to 64K tokens (extended context)
- Capabilities: Chat, reasoning, multimodal integration, code generation, tool usage
- Training Data: Diverse web-scale corpora, scientific literature, dialogue, and code datasets with human feedback alignment (RLHF)
- Inference Enhancements: Adaptive attention mechanisms and optimized transformer kernels for reduced latency and energy consumption

Performance Benchmarks
- Logical Reasoning: Superior stability and accuracy on multi-step reasoning tasks
- Code Generation: High functional correctness across multiple programming languages
- Multilingual Understanding: Supports 40+ languages with strong contextual retention
- Extended Context Tasks: Maintains coherence and factual integrity on inputs exceeding 50K tokens
- Few-shot Learning: 30% improvement in generalization compared to GPT-5.0
Quality Improvements
- Maintains coherent reasoning across million-token contexts without drift.
- Step-by-step breakdowns now include verifiable logic paths for math, code, and decisions.
- Enhanced file understanding delivers context-aware summaries and Q&A with precise citations.
- Balanced professional tone with actionable structure, minimizing vague or overly verbose outputs.

API Pricing
- Input: $2.275 / 1M
- Output: $18.2 / 1M
New Features & Technical Upgrades
- Adaptive Reasoning Mode: Silent multi-step cognitive pass before output reduces errors and contradictions
- Extended Context Window (64K tokens): Enables long-form document processing, sustained dialogs, and data-driven reasoning
- Multimodal Compatibility: Seamless integration with vision and speech modalities for richer input/output pipelines
- Safe Output Layers: Refined RLHF ensures stronger guardrails against toxic or biased content
- Efficiency Optimizations: 20% faster inference with 15% lower energy use versus prior versions
Practical Impact
These technical innovations empower GPT-5.2 to deliver high-precision AI assistance for enterprises, developers, educators, and researchers. Ideal for applications requiring reliable long-context understanding, coding tools, multilingual communication, and content creation workflows.
Code Sample
Comparison with Other Models
vs GPT-5.1: GPT-5.2 delivers dramatic gains in long-context accuracy (77% vs. 29.6% at 256K), coding (55.6% vs. 50.8% on SWE-Bench Pro), and tool reliability (98.7% vs. 95.6% on Tau2 Telecom). Hallucinations are 30% less frequent, and output quality is consistently more professional.
vs GPT-5: 20% faster with lower energy consumption; improved factual accuracy and fewer hallucinations on extended contexts. Superior handling of complex multi-turn dialogues and abstract reasoning tasks.
AI Playground



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