Side-by-side technical and economic comparison between Mistral AI's Mistral Small 4 and Cohere's Command A.
| Metric | Mistral Small 4 | Command A | Advantage |
|---|---|---|---|
| Provider Organization | Mistral AI | Cohere | — |
| Standard Input / 1M | $0.15 | $2.00 | Mistral Small 4 (93% lower) |
| Cached Input / 1M | $0.015 | $0.20 | Mistral Small 4 lower |
| Output / 1M | $0.60 | $8.00 | Mistral Small 4 lower |
| Context Window | 256k | 256k | Mistral Small 4 (256k) |
| Max Generation Tokens | 8.2k | 64k | Command A |
| Tokenizer Family | Mistral Tekken Tokenizer (131k vocabulary) | Cohere Byte-Pair Encoding (256k vocabulary) | — |
Opt for Mistral Small 4 when your engineering requirements prioritize Mistral AI's ecosystem, specific tokenizer efficiencies (Calibrated Mistral Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $0.15/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.