Side-by-side technical and economic comparison between OpenAI's OpenAI o3-pro and Cohere's Command A.
| Metric | OpenAI o3-pro | Command A | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | Cohere | — |
| Standard Input / 1M | $20.00 | $2.00 | Command A (90% lower) |
| Cached Input / 1M | None | $0.20 | Command A lower |
| Output / 1M | $80.00 | $8.00 | Command A lower |
| Context Window | 256k | 256k | Equal |
| Max Generation Tokens | 100k | 64k | OpenAI o3-pro |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | Cohere Byte-Pair Encoding (256k vocabulary) | — |
Opt for OpenAI o3-pro 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 $20/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.