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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-chat-latest',
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-chat-latest",
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}")
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Product Detail
GPT-5 Chat is OpenAI’s cutting-edge conversational large language model, presenting a unified system that integrates a smart, fast base model with more profound reasoning variants. It is meticulously optimized for efficient multimodal understanding and boasts an extended context window, supporting up to 400,000 tokens for sophisticated handling of lengthy and complex conversations.
⚙️ Technical Specifications
Context Management
- 400,000-token input window for extensive context.
- Advanced long context handling with recursive attention and dynamic focus on salient information.
- Supports diverse multimodal inputs (text, audio, visual).
Unified System Architecture
- A smart, fast base model for general queries.
- Deeper "thinking" model variants for intricate reasoning tasks.
- Mini and nano compressed models for cost-efficient usage.
- A real-time routing system dynamically selects the optimal model based on task complexity and user cues.
Technical Innovations
- Mixture of Experts (MoE) layers for enhanced efficiency and scalability.
- Enhanced transformer attention mechanisms for better focus.
- Recursive training techniques to boost contextual comprehension and iterative problem-solving abilities.
💰 API Pricing
- Input: $1.3125
- Output: $10.50
- Cached input: $0.13125
💡 Use Cases
- Advanced conversational AI and chatbots.
- Software engineering and robust code generation.
- Large-scale document and multimodal content analysis.
- Creative writing, comprehensive research, and educational assistance.
🛡️ Safety & Alignment
- Advanced alignment and bias mitigation strategies.
- Ethical content safety filters actively minimize hallucinations, ensuring trustworthy output.
🔄 Comparison with Other Models
vs GPT-4: GPT-5 Chat offers faster performance, superior logical reasoning, and an expanded 400,000-token context window. This enables a much deeper understanding of complex inputs compared to GPT-4, which, while strong in general-purpose language tasks, is limited by a smaller context and less advanced reasoning capabilities.
vs Claude 4: While Claude 4 excels in stable, high-precision coding tasks, GPT-5 Chat offers more advanced multimodal understanding and faster dynamic reasoning modes. This makes GPT-5 more versatile in vision-language workflows and complex multi-step reasoning scenarios.
vs OpenAI o3: GPT-5 Chat achieves substantially lower hallucination rates (9%) compared to OpenAI o3 (86.7%). This reflects a major improvement in factual accuracy and trustworthiness, particularly in complex reasoning and knowledge-intensive tasks.
❓ Frequently Asked Questions (FAQ)
Q: What conversational architecture enables GPT-5 Chat's human-like dialogue capabilities?
A: GPT-5 Chat employs a sophisticated multi-scale dialogue transformer architecture with dynamic context management. It features hierarchical attention mechanisms, adaptive response generation, advanced personality modeling, and sophisticated social intelligence for nuanced interpersonal dynamics.
Q: How does GPT-5 Chat achieve breakthrough performance in emotional intelligence and social understanding?
A: The architecture incorporates emotion-aware attention mechanisms, sentiment-adaptive response generation, and advanced theory of mind modeling. It also uses cross-cultural communication patterns and nuanced empathy modeling to adapt conversational style and provide appropriate emotional support.
Q: What memory and context management innovations distinguish GPT-5 Chat's extended conversations?
A: GPT-5 Chat implements revolutionary conversation memory systems with multi-tiered context storage, intelligent memory compression, dynamic context retrieval, and relationship modeling. Advanced forgetting mechanisms ensure privacy while maintaining conversational coherence over extended periods.
Q: How does the model handle complex multi-modal conversations integrating text, voice, and visual elements?
A: The architecture supports seamless multi-modal integration through unified representation learning, processing text, audio cues, and visual context in a shared semantic space. It uses cross-modal attention mechanisms and adaptive modality weighting for coherent, multi-sensory conversations.
Q: What safety and alignment features ensure GPT-5 Chat remains helpful and appropriate?
A: GPT-5 Chat incorporates comprehensive safety measures including real-time content evaluation with contextual understanding, sophisticated boundary detection, and value-aligned response generation. It features transparent reasoning about safety decisions, graceful redirection, and consistent adherence to ethical guidelines.
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