DeepSeek V3.1 Terminus
DeepSeek: DeepSeek V3.1 Terminus. Compară prețurile API, furnizorul, lungimea contextului, capabilitățile, use case-urile, latența și alternativele. Chinese Q&A, general chat. $0.052 / 1M tokens / $0.179 / 1M tokens. 163.8k tokens.
Ce este DeepSeek V3.1 Terminus in NextModel?
DeepSeek: DeepSeek V3.1 Terminus. Compară prețurile API, furnizorul, lungimea contextului, capabilitățile, use case-urile, latența și alternativele. Chinese Q&A, general chat. $0.052 / 1M tokens / $0.179 / 1M tokens. 163.8k tokens.
Cele mai bune cazuri de utilizare
- Chinese Q&A
- general chat
Exemplu compatibil OpenAI
Păstrează stilul SDK OpenAI, trimite base_url către NextModel și folosește ID-ul din catalog deepseek--deepseek-v3.1-terminus.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="deepseek/deepseek-v3.1-terminus",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Alternative similare
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Compară DeepSeek: DeepSeek V3.1 Terminus
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