Side-by-side technical and economic comparison between OpenAI's OpenAI o3 and OpenAI's OpenAI o1.
• OpenAI o1: Classified as a Legacy Reference model (Generally Available).
| Metric | OpenAI o3 | OpenAI o1 | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | OpenAI | — |
| Standard Input / 1M | $2.00 | $15.00 | OpenAI o3 (87% lower) |
| Cached Input / 1M | $0.50 | $7.50 | OpenAI o3 lower |
| Output / 1M | $8.00 | $60.00 | OpenAI o3 lower |
| Context Window | 200k | 200k | Equal |
| Max Generation Tokens | 100k | 100k | OpenAI o3 |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | OpenAI o200k_base (200k vocabulary) | — |
Opt for OpenAI o3 when your engineering requirements prioritize OpenAI's ecosystem, specific tokenizer efficiencies (Exact BPE (o200k_base)), or when your expected prompt-to-completion ratios favor its $2/M input rate.
Opt for OpenAI o1 when looking for OpenAI's tooling integration, specific context window depth (200k tokens), or when output generation volume favors its $60/M rate.