DeepSeek V3 0324
DeepSeek: DeepSeek V3 0324 Comparez les tarifs API, le fournisseur, la longueur de contexte, les capacites, les cas d'usage, la latence et les alternatives. Chinese Q&A, general chat. $0.038 / 1M tokens / $0.146 / 1M tokens. 163.8k tokens.
Qu'est-ce que DeepSeek V3 0324 dans NextModel ?
DeepSeek: DeepSeek V3 0324 Comparez les tarifs API, le fournisseur, la longueur de contexte, les capacites, les cas d'usage, la latence et les alternatives. Chinese Q&A, general chat. $0.038 / 1M tokens / $0.146 / 1M tokens. 163.8k tokens.
Meilleurs cas d'usage
- Chinese Q&A
- general chat
Exemple compatible OpenAI
Conservez le style SDK OpenAI, pointez base_url vers NextModel et utilisez l'ID de catalogue deepseek--deepseek-chat-v3-0324.
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-v3-0324",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Alternatives proches
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-V3.1 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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