Llama 4 Scout — AI Model Review & Pricing
Meta's open-weight MoE model. 109B total parameters with 17B active, native multimodal (text+image), 10M context window.
Specifications
| Attribute | Value |
|---|---|
| Lab | Meta |
| Tags | Intelligent Fast Open Weight |
| Release Date | 2026-01 |
| Context Window | 10,000,000 tokens |
| Input Price / 1M | $0.08 |
| Output Price / 1M | $0.30 |
| Input Modalities | Text |
| Output Modalities | Text |
Strengths
- Multimodal: native image understanding
- Very low pricing ($0.08/M input)
- 10M context window
- Open-weight with permissive license
Weaknesses
- Only 17B active params weaker reasoning than flagships
- MoE routing can be inconsistent
Best For
- Budget multimodal tasks
- Long-context applications
- Local/fine-tuning use cases
In Depth: Llama 4 Scout
Summary
Llama 4 Scout is an AI model from Meta ranked #89 of 124 on the LMRank leaderboard.
Released 2026-01. It currently appears in the Overall category on LMRank and 1 other category. It supports Text input and produces Text output, with a context window of 10,000,000 tokens. Input pricing is $0.08 per 1M tokens and output is $0.30 per 1M tokens on OpenRouter.