Meta modele
Llama 4 Maverick
Meta: Llama 4 Maverick Comparez les tarifs API, le fournisseur, la longueur de contexte, les capacites, les cas d'usage, la latence et les alternatives. open-model workflows, cost-sensitive long context, classification. $0.15 / 1M tokens / $0.6 / 1M tokens. 1M tokens.
JSON modeLong contextStreamingLow costTool callingVision
Qu'est-ce que Llama 4 Maverick dans NextModel ?
Meta: Llama 4 Maverick Comparez les tarifs API, le fournisseur, la longueur de contexte, les capacites, les cas d'usage, la latence et les alternatives. open-model workflows, cost-sensitive long context, classification. $0.15 / 1M tokens / $0.6 / 1M tokens. 1M tokens.
Meilleurs cas d'usage
- open-model workflows
- cost-sensitive long context
- classification
Exemple compatible OpenAI
Conservez le style SDK OpenAI, pointez base_url vers NextModel et utilisez l'ID de catalogue 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)Alternatives proches
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RoutingConfigured
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RoutingConfigured
Tool callingJSON modeStreamingLow cost
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
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.