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 index7
Coding index8
Agentic index1
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
Other models by the same vendor in the catalogue.