Model catalogue

Meta
Llama 4 Scout
meta-llama/llama-4-scout
Specification
Published by the vendor; the platform bills at the target's declared price.
Llama 4 Scout
open weights toolsMeta meta-llama/llama-4-scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
- Input $/1M
- $0.10
- Output $/1M
- $0.30
- Context
- 1.3M
- Max output
- 16K
- Released
- Apr 5, 2025
- Modalities
- textimage
Intelligence index-
Coding index8
Agentic index-
On this deployment
No routing target resolves to this model yet. Declare one and the router picks it up without retraining.
Not routable here yet
Add a target with metadata.model set to this id.
targets.yamlyaml
# targets.yaml - declare a target that runs Llama 4 Scout
targets:
- id: llama-4-scout
kind: llm
name: Llama 4 Scout
metadata:
model: meta-llama/llama-4-scout # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1310720
cost:
usd_per_1k_tokens: 0.000200Price among Meta models
Input list price per million tokens; Llama 4 Scout is the 4th cheapest of 8 listed.
- 1$0.03
- 2$0.05
- 3$0.05
- 4$0.10Llama 4 Scout
- 5$0.10
- 6$0.18
- 7$0.20
- 8$0.40
More from Meta
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