GPT-5 vs GPT-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.
GPT-5 vs GPT-5 Pro: side by side
| Spec | GPT-5 | GPT-5 Pro | Winner |
|---|---|---|---|
| Intelligence | 15.3 | — | Tie |
| Output speed | 167 t/s | — | Tie |
| Output price | $10.00/1M | $120.00/1M | GPT-5 |
| Context | 400K | 400K | Tie |
| Params | — | — | Tie |
| Provider | OpenAI | OpenAI | Tie |
GPT-5
Pros
- +Very large context window
- +Native multimodal input support
- +Seamless text-image-file integration
Cons
- –Hypothetical model with unverified performance
- –High resource demands for maximum context
- –Potential latency on large multimodal tasks
GPT-5 Pro
Pros
- +Handles very large inputs across modalities
- +Strong integration of text, image, and file data
- +Suitable for document-heavy workflows
Cons
- –No native real-time information access
- –Performance can vary on highly specialized topics
- –Higher computational cost with maximum context
Frequently asked questions
It depends on your needs. GPT-5 and GPT-5 Pro are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.