Side-by-side technical and economic comparison between OpenAI's OpenAI o4-mini and OpenAI's OpenAI o5-mini.
| Metric | OpenAI o4-mini | OpenAI o5-mini | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | OpenAI | — |
| Standard Input / 1M | $1.10 | $0.80 | OpenAI o5-mini (27% lower) |
| Cached Input / 1M | $0.275 | $0.20 | OpenAI o5-mini lower |
| Output / 1M | $4.40 | $3.20 | OpenAI o5-mini lower |
| Context Window | 200k | 200k | Equal |
| Max Generation Tokens | 64k | 100k | OpenAI o5-mini |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | OpenAI o200k_base (200k vocabulary) | — |
Opt for OpenAI o4-mini 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 $1.1/M input rate.
Opt for OpenAI o5-mini when looking for OpenAI's tooling integration, specific context window depth (200k tokens), or when output generation volume favors its $3.2/M rate.