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-5.2 leads decisively on intelligence (38 vs 19.9) for complex multimodal tasks, while GPT-5 Nano dominates on price ($0.4 vs $14 per 1M tokens) and measured speed (162.33 t/s). Both share identical 400k context and text/image/file support from OpenAI, but Nano's lightweight design trades depth for efficiency. GPT-5.2 suits high-capability needs despite unknown speed and higher cost.
| Spec | GPT-5.2 | GPT-5 Nano | Winner |
|---|---|---|---|
| Intelligence | 38 | 19.9 | GPT-5.2 |
| Output speed | — | 162 t/s | Tie |
| Output price | $14.00/1M | $0.40/1M | GPT-5 Nano |
| Context | 400K | 400K | Tie |
| Params | — | — | Tie |
| Provider | OpenAI | OpenAI | Tie |
GPT-5.2 scores 38 on intelligence_index compared to GPT-5 Nano's 19.9. This gives GPT-5.2 superior capability depth for complex reasoning. GPT-5 Nano's lower score reflects its trade-off for lightweight performance.
GPT-5 Nano costs $0.4 per 1M tokens versus GPT-5.2 at $14 per 1M tokens. The 35x price difference favors Nano for budget-conscious or high-volume use. Both are proprietary OpenAI models with identical context sizes.
GPT-5 Nano provides a measured output speed of 162.33 t/s; GPT-5.2 speed is unspecified. Nano's strengths explicitly highlight faster responses from its lightweight design. This makes Nano preferable where output velocity matters.
Both models support text, image, and file inputs with the same 400000 context window. GPT-5 Nano emphasizes efficient large-context handling while GPT-5.2 focuses on unified scalable analysis. Neither includes native audio or video.
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Select GPT-5 Nano for cost-effective, high-speed multimodal work with large contexts. Choose GPT-5.2 when maximum intelligence outweighs the steep price premium. The models serve distinct segments despite shared OpenAI provider and context specs.
GPT-5.2 is better for intelligence-heavy tasks while GPT-5 Nano is better for speed and cost; neither is universally superior based on the given metrics.