GPT-4.1 Nano 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.
Verdict
GPT-4.1 Nano leads on measurable efficiency metrics with intelligence_index=13, output_speed=171.89 t/s, output_price=$0.4/1M, and context=1047576 versus GPT-5 Pro's $120/1M and context=400000; its strengths center on the extremely large context window and native multimodal support. GPT-5 Pro's listed strengths emphasize strong integration of text/image/file data and suitability for document-heavy workflows, but lack reported intelligence or speed values and carry higher computational cost at maximum context. Both are proprietary OpenAI models with unknown parameter counts; Nano notes potential depth trade-offs while Pro notes variable performance on specialized topics.
GPT-4.1 Nano vs GPT-5 Pro: side by side
| Spec | GPT-4.1 Nano | GPT-5 Pro | Winner |
|---|---|---|---|
| Intelligence | 13 | — | Tie |
| Output speed | 172 t/s | — | Tie |
| Output price | $0.40/1M | $120.00/1M | GPT-4.1 Nano |
| Context | 1048K | 400K | GPT-4.1 Nano |
| Params | — | — | Tie |
| Type | Proprietary | Proprietary | Tie |
| Provider | OpenAI | OpenAI | Tie |
GPT-4.1 Nano
Pros
- +Extremely large context window
- +Native support for images, text, and files
- +OpenAI multimodal architecture
Cons
- –Nano size may reduce depth on complex tasks
- –Performance trade-offs for efficiency
GPT-5 Pro
Pros
- +Handles very large inputs across modalities
- +Strong integration of text, image, and file data
- +Suitable for document-heavy workflows
- +Flexible reasoning over extended context
Cons
- –No native real-time information access
- –Performance can vary on highly specialized topics
- –Higher computational cost with maximum context
Frequently asked questions
GPT-4.1 Nano reports an intelligence_index of 13, output_speed of 171.89 t/s, and $0.4/1M price with larger context; GPT-5 Pro has no reported intelligence_index or speed and costs $120/1M.