Meta
Llama 4 Scout
meta/llama-4-scout
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Open-weight Llama 4 MoE model (17B active, 109B total, 16 experts) with text and image input and a 10M-token context.
Price
- Input
- Price on request
- Output
- Price on request
- Notes
- Price on request: Meta publishes no first-party USD per-token price for Llama models.
- Source
- Meta pricing
No markup on model usage: you pay the provider's list price.
Model
- Context
- 10M (10,000,000 tokens)
- Modality
- Text and image
- Input
- text, image
- Output
- text
- Weights
- Open weights
- Released
- April 5, 2025
- Tags
- open-weights, multimodal, long-context
Data policy
- Prompts go to
- Wherever you or your chosen host run the weights (no Meta-hosted API for this model)
- Retention
- Set by the host, Meta does not receive prompts when you self-host
- Zero data retention
- Not stated by the provider
- Region
- Depends on host
- Policy
- Meta data policy
Summarised from the provider's published terms. The provider's own policy is what applies.
Call it with any OpenAI SDK
Available when the model is live
from openai import OpenAI
client = OpenAI(
base_url="https://api.safeguard.sh/v1",
api_key="SAFEGUARD_API_KEY",
)
response = client.chat.completions.create(
model="meta/llama-4-scout",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Base URL https://api.safeguard.sh/v1, model meta/llama-4-scout.
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