Side-by-side technical and economic comparison between Mistral AI's Codestral (Current Generation) and OpenAI's OpenAI o5-mini.
| Metric | Codestral (Current Generation) | OpenAI o5-mini | Advantage |
|---|---|---|---|
| Provider Organization | Mistral AI | OpenAI | — |
| Standard Input / 1M | $0.30 | $0.80 | Codestral (Current Generation) (63% lower) |
| Cached Input / 1M | $0.03 | $0.20 | Codestral (Current Generation) lower |
| Output / 1M | $0.90 | $3.20 | Codestral (Current Generation) lower |
| Context Window | 256k | 200k | Codestral (Current Generation) (256k) |
| Max Generation Tokens | 8.2k | 100k | OpenAI o5-mini |
| Tokenizer Family | Mistral Tekken BPE (~131k vocabulary) | OpenAI o200k_base (200k vocabulary) | — |
Opt for Codestral (Current Generation) when your engineering requirements prioritize Mistral AI's ecosystem, specific tokenizer efficiencies (Exact Tekken Tokenizer (±2%)), or when your expected prompt-to-completion ratios favor its $0.3/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.