LLM API
OpenAI, Anthropic, Google의 대화형 AI 모델을 동일한 API 키로 사용합니다. 기존 OpenAI SDK와 100% 호환됩니다.
주요 모델 상세 정보
각 모델의 상세한 파라미터, 예제 코드, 활용 팁을 확인하세요.
GPT-4o
OpenAI
OpenAI's flagship multimodal model. Industry-leading performance in reasoning, coding, and creative tasks with native vision capabilities and structured output support.
GPT-4o Mini
OpenAI
Cost-effective, fast model with strong performance. Best for high-volume tasks where speed and cost matter more than absolute capability.
OpenAI o1
OpenAI
OpenAI's most advanced reasoning model. Uses extended thinking time to solve complex problems in science, coding, and math with exceptional accuracy.
OpenAI o1-mini
OpenAI
Fast reasoning model optimized for coding and STEM tasks. Provides strong reasoning at lower cost than o1.
Claude 3.5 Sonnet
Anthropic
Anthropic's most intelligent model. Best-in-class for complex reasoning, nuanced understanding, and coding tasks with exceptional instruction following.
Claude 3 Opus
Anthropic
Anthropic's most powerful model for highly complex tasks. Exceptional at research, analysis, and creative projects requiring deep expertise.
Claude 3.5 Haiku
Anthropic
Fast, cost-effective model for everyday tasks. Great balance of speed, intelligence, and cost for high-volume applications.
Gemini 2.0 Flash
Google's fastest and most capable model. Features a massive 1M token context window, native multimodal support, and real-time capabilities.
Gemini 2.0 Flash Thinking
Experimental reasoning model with explicit thinking process. Shows step-by-step reasoning for complex problems.
Gemini 1.5 Pro
Google's production-ready model with excellent balance of capability and cost. Features 2M token context window for massive document processing.
가격 단위: 크레딧/토큰 기준입니다. 예: 1,000 토큰 입력, 500 토큰 출력 시 gpt-4o-mini는 0.3 + 0.6 = 0.9 크레딧
GPT-5 / O-Series 주의사항
GPT-5, o1, o3 등 추론(Reasoning) 모델은 일반 모델과 파라미터가 다릅니다:
max_tokens→max_completion_tokens사용temperature,top_p지원 안 함- 새 파라미터:
reasoning_effort(minimal/low/medium/high)
OpenAI (GPT)
GPT-4o / GPT-4.1 (일반 모델)
curl -X POST https://api.core.today/llm/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer cdt_your_api_key" \
-d '{
"model": "gpt-4o",
"messages": [{"role": "user", "content": "Hello!"}],
"max_tokens": 1000,
"temperature": 0.7
}'GPT-5 / O-Series (추론 모델)
curl -X POST https://api.core.today/llm/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer cdt_your_api_key" \
-d '{
"model": "gpt-5",
"messages": [{"role": "user", "content": "Explain quantum computing"}],
"max_completion_tokens": 16000,
"reasoning_effort": "medium"
}'GPT-5 전용 파라미터
max_completion_tokens- 최대 출력 토큰 (max_tokens 대신 사용)reasoning_effort- 추론 수준: minimal, low, medium, high
GPT-5 시리즈
| 모델 | Input | Output |
|---|---|---|
| gpt-5 | 0.0025 | 0.0200 |
| gpt-5-mini | 0.0005 | 0.0040 |
| gpt-5-nano | 0.0001 | 0.0008 |
| gpt-5-pro | 0.0300 | 0.2400 |
GPT-4.1 / GPT-4o 시리즈
| 모델 | Input | Output |
|---|---|---|
| gpt-4.1 | 0.0040 | 0.0160 |
| gpt-4.1-mini | 0.0008 | 0.0032 |
| gpt-4.1-nano | 0.0002 | 0.0008 |
| gpt-4o | 0.0050 | 0.0200 |
| gpt-4o-mini | 0.0003 | 0.0012 |
O-Series (Reasoning)
| 모델 | Input | Output |
|---|---|---|
| o1 | 0.0300 | 0.1200 |
| o1-pro | 0.3000 | 1.2000 |
| o3 | 0.0040 | 0.0160 |
| o3-pro | 0.0400 | 0.1600 |
| o4-mini | 0.0022 | 0.0088 |
Anthropic (Claude)
curl -X POST https://api.core.today/llm/anthropic/v1/messages \
-H "Content-Type: application/json" \
-H "Authorization: Bearer cdt_your_api_key" \
-d '{
"model": "claude-sonnet-4",
"max_tokens": 1024,
"messages": [
{"role": "user", "content": "Explain quantum computing simply."}
]
}'Claude Opus 시리즈
| 모델 | Input | Output |
|---|---|---|
| claude-opus-4.5 | 0.0100 | 0.0500 |
| claude-opus-4.1 | 0.0300 | 0.1500 |
| claude-opus-4 | 0.0300 | 0.1500 |
| claude-3-opus | 0.0300 | 0.1500 |
Claude Sonnet 시리즈
| 모델 | Input | Output |
|---|---|---|
| claude-sonnet-4.5 | 0.0060 | 0.0300 |
| claude-sonnet-4 | 0.0060 | 0.0300 |
| claude-3.7-sonnet | 0.0060 | 0.0300 |
| claude-3.5-sonnet | 0.0060 | 0.0300 |
Claude Haiku 시리즈
| 모델 | Input | Output |
|---|---|---|
| claude-haiku-4.5 | 0.0020 | 0.0100 |
| claude-3.5-haiku | 0.0016 | 0.0080 |
| claude-3-haiku | 0.0005 | 0.0025 |
Google (Gemini)
curl -X POST "https://api.core.today/llm/gemini/v1beta/models/gemini-2.5-pro:generateContent" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer cdt_your_api_key" \
-d '{
"contents": [
{
"parts": [{"text": "Write a haiku about programming"}]
}
]
}'Gemini 모델
| 모델 | Input | Output |
|---|---|---|
| gemini-2.5-pro | 0.0025 | 0.0200 |
| gemini-2.5-flash | 0.0006 | 0.0050 |
| gemini-2.5-flash-lite | 0.0002 | 0.0008 |
| gemini-2.0-flash | 0.0002 | 0.0008 |
| gemini-2.0-flash-live | 0.0007 | 0.0030 |
스트리밍 응답
실시간으로 응답을 받으려면 stream: true를 추가하세요:
curl -X POST https://api.core.today/llm/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer cdt_your_api_key" \
-d '{
"model": "gpt-5",
"messages": [{"role": "user", "content": "Tell me a long story"}],
"stream": true
}'비용 계산 예시
1,000 토큰 입력, 500 토큰 출력 기준:
| 모델 | 계산 | 총 비용 |
|---|---|---|
| gpt-4o-mini | 0.3 + 0.6 | 0.9 크레딧 |
| gpt-5 | 2.5 + 10.0 | 12.5 크레딧 |
| claude-3-haiku | 0.5 + 1.25 | 1.75 크레딧 |
| claude-sonnet-4 | 6.0 + 15.0 | 21.0 크레딧 |
| gemini-2.0-flash | 0.2 + 0.4 | 0.6 크레딧 |