NextModel에서 GLM-5.2은 무엇인가요?
GLM-5.2 API 가격, 공급자, 컨텍스트 길이, 기능, 활용 사례, 지연 시간, 대안을 비교합니다. general-purpose reasoning, Chinese Q&A, agentic tool use. ¥8 / 1M tokens / ¥28 / 1M tokens. 128k tokens.
적합한 활용 사례
- general-purpose reasoning
- Chinese Q&A
- agentic tool use
OpenAI 호환 코드 예시
OpenAI SDK 스타일을 유지하고 base_url 을 NextModel 로 향하게 하며 카탈로그 ID를 사용합니다 glm-5-2.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="glm-5-2",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)유사 대안
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FAQ
GLM-5.2 FAQ
What is GLM-5.2 best for?
General-purpose Chinese reasoning and agentic tool-use tasks.
How is GLM-5.2 priced through NextModel?
Flat ¥8 per 1M input tokens and ¥28 per 1M output tokens.