Model comparison
Llama 4 Scout vs GPT-5
Capability radar, value bars, and side-by-side posture.
Llama 4 Scout
Not scored
value score
GPT-5
94
value score
Llama 4 Scout ctx
10M
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Llama 4 Scout | GPT-5 |
|---|---|---|
| Developer | meta-llama | OpenAI |
| Context | 10M | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | Open Weights | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | Llama 4 Scout is an open-weight, instruction-tuned multimodal language model released by Meta on April 5, 2025, featuring 17 billion active parameters across 16 experts (mixture-of-experts architecture) and a 10-million-token context window. It accepts text and image inputs and is designed for assistant-style tasks including question answering, summarization, image captioning, and long-context reasoning. | OpenAI frontier multimodal model. |