Llama 4 Scout vs GPT-5.5 Pro
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
- ✓Need native support for files, images, and text with seamless integration
- ✓Require proprietary OpenAI-hosted access for extended inputs up to 1.05M tokens
- ✓Prioritize strong reasoning over multimodal content within a 1M-token limit
Choose GPT-5.5 Pro if you need
- ✓Need 10M-token context at 106.34 t/s and $0.3 per million tokens
- ✓Want open-weight Meta model for text and image sequences
- ✓Require measurable speed and cost efficiency on long inputs
Verdict
Llama 4 Scout leads on measurable speed, price, and context size while GPT-5.5 Pro offers broader native file support and seamless multimodal integration within its smaller 1.05M-token window. Llama 4 Scout's open-weight availability and $0.3/M pricing give it clear advantages for cost-sensitive long-context workloads, whereas GPT-5.5 Pro's proprietary nature and higher $180/M cost limit accessibility despite its strong reasoning claims. The data favor Llama 4 Scout for most practical multimodal deployments.
Llama 4 Scout vs GPT-5.5 Pro: side by side
| Spec | Llama 4 Scout | GPT-5.5 Pro | Winner |
|---|---|---|---|
| Intelligence | 10 | — | Tie |
| Output speed | 106 t/s | — | Tie |
| Output price | $0.30/1M | $180.00/1M | Llama 4 Scout |
| Context | 10000K | 1050K | Llama 4 Scout |
| Params | — | — | Tie |
| Provider | Meta | OpenAI | Tie |
Detailed analysis
Pricing
Winner: Llama 4 ScoutLlama 4 Scout costs $0.3 per million tokens while GPT-5.5 Pro costs $180 per million tokens. The 600x price difference makes Llama 4 Scout far more accessible for high-volume use.
Context & Speed
Winner: Llama 4 ScoutLlama 4 Scout provides 10M tokens of context and 106.34 t/s output speed; GPT-5.5 Pro offers 1.05M tokens with speed unreported. Both note potential latency at maximum context lengths.
Modalities & Integration
Winner: GPT-5.5 ProGPT-5.5 Pro lists native support for files, images, and text with seamless integration; Llama 4 Scout supports text and image only. Neither includes audio or video.
Access Model
Winner: Llama 4 ScoutLlama 4 Scout is open-weight from Meta; GPT-5.5 Pro is proprietary from OpenAI. Intelligence index is reported only for Llama 4 Scout at 10.
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-5.5 Pro
Pros
- +Very large context window
- +Native support for files, images, and text
- +Seamless multimodal integration
Cons
- –High resource use with maximum context
- –No audio or video modalities
- –Potential latency on very long inputs
Summary: Llama 4 Scout vs GPT-5.5 Pro
Choose Llama 4 Scout when speed, cost, and maximum context length matter most. Select GPT-5.5 Pro when native file handling and proprietary OpenAI integration are required within a 1.05M-token window. The provided metrics strongly favor Llama 4 Scout on quantifiable dimensions.
Frequently asked questions
Llama 4 Scout at $0.3 per million tokens versus GPT-5.5 Pro at $180 per million tokens.