Llama 4 Scout vs GPT-5.5
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
- ✓maximum context length up to 10M tokens for long text and image sequences
- ✓fastest output at 112.66 tokens per second
- ✓lowest cost at $0.3 per million tokens
- ✓open-weight access from Meta
Choose GPT-5.5 if you need
- ✓highest intelligence index of 41.7 for complex reasoning
- ✓native support for files and images in flexible workflows
- ✓document-heavy tasks requiring strong multimodal performance
Verdict
Llama 4 Scout leads on speed, price, and context size while GPT-5.5 leads on intelligence index. Llama 4 Scout's 10M context and 112.66 t/s output at $0.3/1M make it the practical choice for long multimodal sequences, whereas GPT-5.5's 41.7 intelligence index suits tasks needing higher reasoning quality despite its 58.05 t/s speed and $30/1M cost.
Llama 4 Scout vs GPT-5.5: side by side
| Spec | Llama 4 Scout | GPT-5.5 | Winner |
|---|---|---|---|
| Intelligence | 10 | 41.7 | GPT-5.5 |
| Output speed | 108 t/s | 52 t/s | Llama 4 Scout |
| Output price | $0.30/1M | $30.00/1M | Llama 4 Scout |
| Context | 10000K | 1050K | Llama 4 Scout |
| Params | — | — | Tie |
| Provider | Meta | OpenAI | Tie |
Detailed analysis
Intelligence
Winner: GPT-5.5GPT-5.5 scores 41.7 on the intelligence index compared to Llama 4 Scout's 10. This gap indicates stronger reasoning capability for GPT-5.5 on complex multimodal tasks.
Speed
Winner: Llama 4 ScoutLlama 4 Scout outputs at 112.66 tokens per second while GPT-5.5 runs at 58.05 tokens per second. The nearly 2x speed advantage favors Llama 4 Scout for high-volume workloads.
Pricing
Winner: Llama 4 ScoutLlama 4 Scout costs $0.3 per million tokens versus GPT-5.5 at $30 per million tokens. This 100x price difference makes Llama 4 Scout far more economical at scale.
Context Window
Winner: Llama 4 ScoutLlama 4 Scout provides a 10M token context compared to GPT-5.5's 1.05M tokens. Both models support extremely large contexts but Llama 4 Scout's window is nearly 10 times larger.
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
Pros
- +Extremely large context window
- +Native support for files and images
- +Flexible multimodal workflows
Cons
- –No native audio or video support
- –Large context may increase latency
- –Performance depends on input quality across modalities
Summary: Llama 4 Scout vs GPT-5.5
Choose Llama 4 Scout for speed, cost efficiency, and maximum context length in open-weight deployments. Choose GPT-5.5 when the highest intelligence index is required for complex document and multimodal reasoning tasks.
Frequently asked questions
GPT-5.5 leads in intelligence while Llama 4 Scout leads in speed, price, and context size; the better choice depends on whether reasoning quality or efficiency matters most.