Meta model
Llama 4 Maverick
Meta: Llama 4 Maverick Bandingkan harga API, penyedia, panjang konteks, keupayaan, kes penggunaan, latensi dan alternatif. open-model workflows, cost-sensitive long context, classification. $0.15 / 1M tokens / $0.6 / 1M tokens. 1M tokens.
JSON modeLong contextStreamingLow costTool callingVision
Apakah Llama 4 Maverick dalam NextModel?
Meta: Llama 4 Maverick Bandingkan harga API, penyedia, panjang konteks, keupayaan, kes penggunaan, latensi dan alternatif. open-model workflows, cost-sensitive long context, classification. $0.15 / 1M tokens / $0.6 / 1M tokens. 1M tokens.
Kes penggunaan terbaik
- open-model workflows
- cost-sensitive long context
- classification
Contoh serasi OpenAI
Kekalkan gaya SDK OpenAI, halakan base_url ke NextModel dan gunakan ID katalog 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)Alternatif serupa
GoogleCatalog
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Best forlong-document summarization, image Q&A, fast multimodal routing
RoutingConfigured
Tool callingVisionJSON modeLong context
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
Moonshot AICatalog
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RoutingConfigured
JSON modeLong contextStreamingTool calling
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
Mistral AICatalog
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Best fortranslation, classification, short-form summarization
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.