Model comparison
Llama 4 Scout vs o3
Capability radar, value bars, and side-by-side posture.
Llama 4 Scout
Not scored
value score
o3
93
value score
Llama 4 Scout ctx
10M
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | Llama 4 Scout | o3 |
|---|---|---|
| Developer | meta-llama | OpenAI |
| Context | 10M | 200K |
| Modalities | Text, Code | |
| Openness | Open Weights | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| 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 reasoning model focused on hard problems. |