OpenAI: o4 Mini High
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.
OpenRouter 원가 (1M 토큰)
인보이스랩 (월 예상)
입력 0.5M + 출력 0.5M 기준
모델 정보
기본 정보
| 모델 ID | openai/o4-mini-high |
| 제공사 | OpenAI |
| 컨텍스트 윈도우 | 200,000 토큰 |
| 모달리티 | text+image+file->text |
지원 기능
API 사용법
Python (OpenAI SDK 호환)
from openai import OpenAI
client = OpenAI(
api_key="your-dream-api-key",
base_url="https://api.invoicedream.co.kr/v1"
)
response = client.chat.completions.create(
model="openai/o4-mini-high",
messages=[
{"role": "user", "content": "안녕하세요"}
]
)
print(response.choices[0].message.content)Node.js / TypeScript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'your-dream-api-key',
baseURL: 'https://api.invoicedream.co.kr/v1'
});
const response = await client.chat.completions.create({
model: 'openai/o4-mini-high',
messages: [{ role: 'user', content: '안녕하세요' }]
});
console.log(response.choices[0].message.content);cURL
curl https://api.invoicedream.co.kr/v1/chat/completions \
-H "Authorization: Bearer your-dream-api-key" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/o4-mini-high",
"messages": [{"role": "user", "content": "안녕하세요"}]
}'💡 Tip: OpenAI SDK를 그대로 사용할 수 있습니다.base_url만 변경하면 됩니다!