Llama 4 Scout vs Grok 4.20 Multi-Agent
A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Llama 4 Scout vs Grok 4.20 Multi-Agent: side by side
| Spec | Llama 4 Scout | Grok 4.20 Multi-Agent | Winner |
|---|---|---|---|
| Intelligence | 13.5 | — | Tie |
| Output speed | 112 t/s | — | Tie |
| Output price | $0.30/1M | $6.00/1M | Llama 4 Scout |
| Context | 10000K | 2000K | Llama 4 Scout |
| Params | — | — | Tie |
| Type | Open-weight | Proprietary | Tie |
| Provider | Meta | xAI | Tie |
Llama 4 Scout
Pros
- +Extremely large context window
- +Native multimodal input support
- +Strong reasoning over long inputs
Cons
- –High compute cost at maximum context
- –Limited to text and image modalities only
- –May exhibit latency on very long sequences
Grok 4.20 Multi-Agent
Pros
- +Supports extremely long contexts
- +Coordinates multiple agents for workflows
- +Handles text, images, and files natively
Cons
- –Multi-agent setups may add latency
- –Coordination overhead on simple tasks
- –No audio or video modalities
Frequently asked questions
It depends on your needs. Llama 4 Scout and Grok 4.20 Multi-Agent are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.