Llama 4 Scout vs GPT-5.2
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.
Quick verdict: which should you choose?
Choose Llama 4 Scout if you need
- ✓extremely large 10M-token context for long text and image sequences
- ✓fast output at 112.48 tokens per second and low cost of $0.3 per million tokens
- ✓open-weight model with native multimodal input support
- ✓strong reasoning over very long inputs
Choose GPT-5.2 if you need
- ✓much higher intelligence index of 46.6 for complex tasks
- ✓support for files, images, and text with unified multimodal processing
- ✓scalable document-level analysis from OpenAI
- ✓extensive 400k context window
Verdict
GPT-5.2 leads decisively on intelligence (46.6 vs 13.5) and offers broader file-plus-image support, while Llama 4 Scout dominates on context length (10M vs 400k tokens), speed (112.48 t/s), and price ($0.3 vs $14 per million tokens). Llama 4 Scout is the practical choice for long-sequence multimodal work on a budget; GPT-5.2 suits users who prioritize raw capability over cost or scale.
Llama 4 Scout vs GPT-5.2: side by side
| Spec | Llama 4 Scout | GPT-5.2 | Winner |
|---|---|---|---|
| Intelligence | 13.5 | 46.6 | GPT-5.2 |
| Output speed | 112 t/s | — | Tie |
| Output price | $0.30/1M | $14.00/1M | Llama 4 Scout |
| Context | 10000K | 400K | Llama 4 Scout |
| Params | — | — | Tie |
| Type | Open-weight | Proprietary | Tie |
| Provider | Meta | OpenAI | Tie |
Detailed analysis
Intelligence
Winner: GPT-5.2GPT-5.2 scores 46.6 on the intelligence index compared with Llama 4 Scout's 13.5. This gap favors GPT-5.2 for tasks requiring advanced reasoning.
Context & Speed
Winner: Llama 4 ScoutLlama 4 Scout provides a 10M-token context window versus GPT-5.2's 400k tokens and delivers 112.48 tokens per second output. GPT-5.2's speed is unspecified.
Pricing
Winner: Llama 4 ScoutLlama 4 Scout costs $0.3 per million output tokens while GPT-5.2 costs $14 per million. The 46x price difference makes Llama 4 Scout far more economical at scale.
Modalities
Winner: GPT-5.2GPT-5.2 supports files, images, and text with unified processing. Llama 4 Scout is limited to native text and image inputs only.
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-5.2
Pros
- +Extensive context window
- +Support for files, images, and text
- +Unified multimodal processing
- +Scalable document-level analysis
Cons
- –High resource use with maximum context
- –No native audio or video modalities
- –Risk of diluted focus in very long inputs
Summary: Llama 4 Scout vs GPT-5.2
Choose Llama 4 Scout when maximum context, speed, and low cost matter most. Select GPT-5.2 when highest intelligence and file-handling capabilities are required. The models serve different priorities within multimodal workloads.
Frequently asked questions
GPT-5.2 leads on intelligence while Llama 4 Scout leads on context size, speed, and price; neither is universally better.