Llama 4 Scout
Meta's open-weight MoE model. 109B total parameters with 17B active, native multimodal (text+image), 10M context window.
Specifications
| Lab | Meta |
|---|---|
| Context window | 1.3M tokens |
| Input price | $0.10/1M |
| Output price | $0.30/1M |
| Release | Apr 2025 |
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.
Released in Apr 2025. It currently appears in the Overall category on LMRank and 1 other category. It takes text input and produces text output, with a context window of 1.3M tokens. Input pricing is $0.10 per 1M tokens and output is $0.30 per 1M tokens on OpenRouter.