Llama 4 Scout vs GPT-5.1-Codex-Mini
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-5.1-Codex-Mini: side by side
| Spec | Llama 4 Scout | GPT-5.1-Codex-Mini | Winner |
|---|---|---|---|
| Intelligence | 13.5 | 38.6 | GPT-5.1-Codex-Mini |
| Output speed | 112 t/s | 214 t/s | GPT-5.1-Codex-Mini |
| Output price | $0.30/1M | $2.00/1M | Llama 4 Scout |
| Context | 10000K | 400K | Llama 4 Scout |
| Params | — | — | Tie |
| Type | Open-weight | Proprietary | 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-5.1-Codex-Mini
Pros
- +Very large context window
- +Strong coding specialization
- +Native image + text support
- +Suitable for extended technical workflows
Cons
- –Mini variant may have reduced depth on complex reasoning
- –Limited to image and text modalities
- –Trade-off between context size and response speed
Frequently asked questions
It depends on your needs. Llama 4 Scout and GPT-5.1-Codex-Mini are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.