Gemini 2.5 Pro vs Llama 4 Scout
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.
Gemini 2.5 Pro vs Llama 4 Scout: side by side
| Spec | Gemini 2.5 Pro | Llama 4 Scout | Winner |
|---|---|---|---|
| Intelligence | 27 | 10 | Gemini 2.5 Pro |
| Output speed | 129 t/s | 108 t/s | Gemini 2.5 Pro |
| Output price | $10.00/1M | $0.30/1M | Llama 4 Scout |
| Context | 1049K | 10000K | Llama 4 Scout |
| Params | — | — | Tie |
| Provider | Meta | Tie |
Gemini 2.5 Pro
Pros
- +Very large context window for extended inputs
- +Native support for multiple modalities in one model
- +Strong integration of text with visual and audio data
Cons
- –Higher latency on very large multimodal inputs
- –Performance can vary with extremely long contexts
- –Dependent on Google infrastructure for access
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
Frequently asked questions
It depends on your needs. Gemini 2.5 Pro and Llama 4 Scout are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.