DeepSeek V4 Flash 0731
DeepSeek: DeepSeek V4 Flash 0731 Vergleichen Sie API-Preise, Anbieter, Kontextlange, Fahigkeiten, Einsatzfalle, Latenz und Alternativen. Chinese Q&A, general chat. $0.45 / 1M tokens / $1.33 / 1M tokens. 1.3M tokens.
Was ist DeepSeek V4 Flash 0731 in NextModel?
DeepSeek: DeepSeek V4 Flash 0731 Vergleichen Sie API-Preise, Anbieter, Kontextlange, Fahigkeiten, Einsatzfalle, Latenz und Alternativen. Chinese Q&A, general chat. $0.45 / 1M tokens / $1.33 / 1M tokens. 1.3M 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-v4-flash-0731.
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-v4-flash-0731",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Ahnliche Alternativen
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
Vergleichen DeepSeek: DeepSeek V4 Flash 0731
Reading
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FAQ