Llama 4 Scout vs GPT-5.4
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 GPT-5.4: side by side
| Spec | Llama 4 Scout | GPT-5.4 | Winner |
|---|---|---|---|
| Intelligence | 10 | 51.4 | GPT-5.4 |
| Output speed | 111 t/s | 148 t/s | GPT-5.4 |
| Output price | $0.30/1M | $15.00/1M | Llama 4 Scout |
| Context | 10000K | 1050K | Llama 4 Scout |
| Params | — | — | Tie |
| Provider | Meta | OpenAI | 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
GPT-5.4
Pros
- +Handles extremely large contexts
- +Seamless text-image-file integration
- +Strong at document-level tasks
Cons
- –No native audio or video support
- –Large context can increase latency
- –May need careful prompting for complex tasks
Frequently asked questions
It depends on your needs. Llama 4 Scout and GPT-5.4 are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.