Meta Modell
Llama 4 Maverick
Meta: Llama 4 Maverick Vergleichen Sie API-Preise, Anbieter, Kontextlange, Fahigkeiten, Einsatzfalle, Latenz und Alternativen. open-model workflows, cost-sensitive long context, classification. $0.15 / 1M tokens / $0.6 / 1M tokens. 1M tokens.
JSON modeLong contextStreamingLow costTool callingVision
Was ist Llama 4 Maverick in NextModel?
Meta: Llama 4 Maverick Vergleichen Sie API-Preise, Anbieter, Kontextlange, Fahigkeiten, Einsatzfalle, Latenz und Alternativen. open-model workflows, cost-sensitive long context, classification. $0.15 / 1M tokens / $0.6 / 1M tokens. 1M tokens.
Beste Einsatzfalle
- open-model workflows
- cost-sensitive long context
- classification
OpenAI-kompatibles Beispiel
Behalten Sie den OpenAI-SDK-Stil, setzen Sie base_url auf NextModel und verwenden Sie die Katalog-ID llama-4-maverick.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="llama-4-maverick",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Ahnliche Alternativen
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RoutingConfigured
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FAQ
Meta: Llama 4 Maverick FAQ
Why include Llama 4 Maverick?
It gives teams an open-model candidate when comparing cost, context length, and provider optionality.