Side-by-side technical and economic comparison between OpenAI's OpenAI o4-mini and Cohere's Command A.
| Metric | OpenAI o4-mini | Command A | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | Cohere | — |
| Standard Input / 1M | $1.10 | $2.00 | OpenAI o4-mini (45% lower) |
| Cached Input / 1M | $0.275 | $0.20 | Command A lower |
| Output / 1M | $4.40 | $8.00 | OpenAI o4-mini lower |
| Context Window | 200k | 256k | Command A (256k) |
| Max Generation Tokens | 64k | 64k | OpenAI o4-mini |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | Cohere Byte-Pair Encoding (256k 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 Command A when looking for Cohere's tooling integration, specific context window depth (256k tokens), or when output generation volume favors its $8/M rate.