DeepSeek V3
DeepSeek: DeepSeek V3 Vergleichen Sie API-Preise, Anbieter, Kontextlange, Fahigkeiten, Einsatzfalle, Latenz und Alternativen. Chinese Q&A, general chat. $0.038 / 1M tokens / $0.152 / 1M tokens. 163.8k tokens.
Was ist DeepSeek V3 in NextModel?
DeepSeek: DeepSeek V3 Vergleichen Sie API-Preise, Anbieter, Kontextlange, Fahigkeiten, Einsatzfalle, Latenz und Alternativen. Chinese Q&A, general chat. $0.038 / 1M tokens / $0.152 / 1M tokens. 163.8k tokens.
Beste Einsatzfalle
- Chinese Q&A
- general chat
OpenAI-kompatibles Beispiel
Behalten Sie den OpenAI-SDK-Stil, setzen Sie base_url auf NextModel und verwenden Sie die Katalog-ID deepseek--deepseek-chat.
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-chat",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Ahnliche Alternativen
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...
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
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