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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-mini-2025-08-07',
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-mini-2025-08-07",
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}")
-
AI Playground
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
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Product Detail
GPT-5 Mini emerges as a cutting-edge, streamlined variant within the esteemed GPT-5 family. It is meticulously engineered to provide exceptionally fast and efficient multimodal AI capabilities, significantly reducing operational costs while intelligently preserving the advanced core features synonymous with GPT-5. This powerful model adeptly handles both text-to-text and image-to-text tasks, making it a highly versatile solution for a broad spectrum of applications where high throughput and stringent cost efficiency are paramount.
🚀 Technical Specifications
Performance and Token Capacity
- ✓ Supports an extensive input context of up to 400K tokens, facilitating the processing of large and complex documents, mirroring the capabilities of the full GPT-5 model.
- ✓ Delivers highly efficient performance with faster inference times, specifically optimized for high throughput scenarios.
API Pricing (per million tokens)
- ● Input tokens: $0.2625
- ● Output tokens: $2.10
- ● Cached input tokens: $0.02625
✨ Core Features & Functionalities
- 💡 Model Architecture: Inherits the robust transformer-based architecture from GPT-5, meticulously optimized for superior efficiency and speed to perfectly balance performance with operational cost-effectiveness.
- 📸 Multimodal Support: Boasts comprehensive capabilities to process both text and vision (image-to-text) tasks directly via its API, unlocking profound multimodal context understanding.
- 📈 Scalability: Expertly tailored for demanding applications that require large context capabilities while operating with moderated computational resources, ensuring efficient scaling.
- 🧠 Reasoning Capabilities: Preserves and delivers improved reasoning and complex problem-solving features, thoughtfully scaled down compared to the full GPT-5 model to maintain efficiency.
- 🔒 Bias and Safety: Integrates foundational alignment and safety features, consistent with all GPT-5 models, specifically designed to mitigate hallucinations and guarantee high response reliability and ethical output.
💻 Code Sample
import openai
client = openai.OpenAI(api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="openai/gpt-5-mini-2025-08-07",
messages=[
{"role": "user", "content": "Analyze this image and summarize its content."},
{"role": "user", "content": {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}}}
]
)
print(response.choices[0].message.content)
💡 Practical Use Cases
- ► Ideal for high-volume, cost-sensitive software workflows, encompassing critical tasks such as code generation and analysis.
- ► Facilitates large-scale document and image analysis across specialized sectors including legal, finance, and healthcare.
- ► Empowers multimodal content processing and generation in scenarios demanding quicker turnaround times without the prohibitive costs of full-scale models.
📊 Comparison with Other Models
vs GPT-4.1 Mini: GPT-5 Mini distinguishes itself with a significantly larger 400,000 token context window and advanced multimodal image-to-text capabilities, all offered at a more cost-effective price point. In contrast, GPT-4.1 Mini provides a balance of intelligence, speed, and cost but features a smaller context window and more restricted modality support. GPT-5 Mini thus represents a substantial leap in both efficiency and capability within its price segment.
❓ Frequently Asked Questions (FAQs)
Q1: What is GPT-5 Mini primarily designed for?
GPT-5 Mini is optimized for fast, efficient, and cost-effective multimodal AI tasks, particularly crucial in scenarios requiring high throughput and extensive context processing like large-scale document analysis and high-volume software workflows.
Q2: Does GPT-5 Mini support image processing?
Absolutely. It offers multimodal support, making it fully capable of handling both text-to-text and image-to-text (vision) tasks directly through its API.
Q3: What is the maximum token capacity for GPT-5 Mini?
GPT-5 Mini is engineered to support an impressive input context of up to 400,000 tokens, which enables it to process exceptionally large documents and complex datasets effectively.
Q4: How does GPT-5 Mini offer cost-efficiency?
Its design prioritizes significant cost reduction compared to larger models like GPT-5. With highly competitive API pricing, especially for input tokens, it makes advanced AI capabilities accessible and affordable for high-volume use.
Q5: Can GPT-5 Mini be utilized for code-related tasks?
Yes, its efficiency and large context window make it perfectly suitable for high-volume, cost-sensitive software workflows, including tasks such as advanced code generation and detailed code analysis.
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