
Multimodal reasoner with 256K context, image and video input, function tools, structured JSON, and thinking on by default.
Multimodal reasoner with 256K context, image and video input, function tools, structured JSON, and thinking on by default.
Supports text, image, and video input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Use reasoning_effort (xhigh, medium, low) or enable_thinking=false for direct answers. Automatic cache reads are billed at the cached-input rate when reported by the model service. Explicit cache controls are not supported. Open-weight context is 256K; hosted 1M context and official built-in tools are not included.
다른 이름 Alibaba Cloud Qwen3.8 27B
qwen3-8-27b/v1/chat/completionsPOST/v1/responsesPOST/v1/messagesPOST/v1/completionsPOST/v1beta/models/qwen3-8-27b:generateContentqwen3.8-27bqwen/qwen3-8-27bqwen/qwen3.8-27bEmpirioLabs 카탈로그의 실시간 종량제 요금입니다. 사용한 만큼만 결제하며 월 최소 요금이 없습니다.
Qwen3.8 27B은(는) OpenAI 호환 Chat Completions API를 제공합니다. 아무 OpenAI SDK나 EmpirioLabs API 키와 함께 https://api.empiriolabs.ai/v1로 지정하고 모델 ID qwen3-8-27b를 사용하세요. EmpirioLabs 대시보드에서 API 키를 발급받으세요.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-8-27b",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="qwen3-8-27b",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)EmpirioLabs에서 Qwen3.8 27B API가 지원하는 요청 파라미터입니다. 필드를 생략하면 기본값이 적용됩니다.
| 파라미터 | 유형 | 기본값 | 범위 / 값 | 설명 |
|---|---|---|---|---|
| temperature | number | 1 | 0 ~ 2 | Sampling temperature. 0 is deterministic and 2 is maximum randomness. |
| top_p | number | 0.95 | 0 ~ 1 | Nucleus sampling probability mass. Lower values make outputs more focused. |
| max_tokens | integer | 4096 | 1 ~ 32768 | Maximum output tokens. |
| stop | string | - | - | Up to 4 strings where the model will stop generating further tokens. |
| enable_thinking | boolean | true | - | Enable reasoning before answering. |
| reasoning_effort | enum | xhigh | none, low, medium, xhigh | Reasoning effort level. none disables thinking. low, medium, and xhigh select discrete thinking depths. There is no token budget control. |
| top_k | integer | 20 | 1 ~ 200 | Limit sampling to the top K candidate tokens when supported. |
| min_p | number | 0 | 0 ~ 1 | Minimum probability threshold for token sampling. |
| frequency_penalty | number | 0 | -2 ~ 2 | Penalty based on how often a token has already appeared. |
| presence_penalty | number | 0 | -2 ~ 2 | Penalty for tokens that already appeared in the generated text. |
| repetition_penalty | number | 1 | 0.1 ~ 2 | Penalty used by SGLang to reduce repeated text. |
| seed | integer | - | 0 ~ 2147483647 | Optional random seed for reproducible sampling. |
| logprobs | boolean | false | - | Return token log probabilities when supported. |
| top_logprobs | integer | - | 0 ~ 20 | Return up to this many top token log probabilities. |
Supports text, image, and video input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Use reasoning_effort (xhigh, medium, low) or enable_thinking=false for direct answers. Automatic cache reads are billed at the cached-input rate when reported by the model service. Explicit cache controls are not supported. Open-weight context is 256K; hosted 1M context and official built-in tools are not included.
EmpirioLabs에서 Qwen3.8 27B은(는) 종량제로 청구됩니다. 이 페이지의 실시간 요금표는 항상 API 청구 금액과 일치합니다.
Qwen3.8 27B은(는) 256K 토큰 컨텍스트 윈도우를 지원합니다 (응답당 최대 32,768 출력 토큰).
네. Qwen3.8 27B은(는) OpenAI 호환 Chat Completions API를 제공하므로, 기존 OpenAI SDK에서 base_url을 https://api.empiriolabs.ai/v1로 지정하고 모델 ID를 qwen3-8-27b로 설정하면 바로 동작합니다.
네. EmpirioLabs 플레이그라운드에서 API와 동일한 파라미터로 Qwen3.8 27B을(를) 브라우저에서 실행하므로 코드를 작성하기 전에 프롬프트를 테스트할 수 있습니다.
EmpirioLabs 계정을 만든 다음 대시보드의 API Keys에서 키를 생성하세요. 요금은 종량제 크레딧이라 실행한 요청에 대해서만 결제합니다.