// model_detail
active open-weight
Llama 4 Scout
by Meta
Smaller MoE Llama 4 model. 109B active params, massive 10M context window.
Context window 10M 10M tokens
Max output 64K 64K tokens
Pricing /1M tok $0.10 in / $0.40 out per 1M tokens (OpenRouter)
Released Apr 5, 2025
// specifications
Specs & capabilities
API details
- API model ID
meta-llama/llama-4-scout- Internal ID
llama-4-scout- Status
- active
- Type
- open-weight
Capabilities
- Vision
- 👁️ Yes
- Function calling
- 🔧 Yes
- Knowledge cutoff
- 📅 2025-03
Pricing
- Input
- $0.10 / 1M tokens
- Output
- $0.40 / 1M tokens
- Source
- OpenRouter pricing
// data_confidence
Data notes
⚠️ Pricing shown via OpenRouter, not first-party
// notes
Additional notes
109B active params, 10M context, multimodal
// more_from_meta
More Meta models
Llama 4 Maverick active open-weight
Meta's MoE model with 400B active parameters. 1M context, vision support. Strong performance at low cost.
Llama 3.3 70B active open-weight
Strong 70B dense model. 128K context. Best Llama 3.x text-only model.
Llama 3.2 11B Vision active open-weight
11B multimodal model. 128K context. Good efficiency for vision tasks.
Llama 3.2 90B Vision active open-weight
90B multimodal model. 128K context. Best Llama 3.x vision model.
Llama 3.1 405B legacy open-weight
405B dense model. Was the largest open-weight model at release. Superseded by Llama 4.
Llama 3.1 70B legacy open-weight
70B dense model. Standard workhorse before Llama 3.3.
// external_links