Side-by-side technical and economic comparison between Anthropic's Claude Opus 5 and Mistral AI's Codestral (Current Generation).
| Metric | Claude Opus 5 | Codestral (Current Generation) | Advantage |
|---|---|---|---|
| Provider Organization | Anthropic | Mistral AI | — |
| Standard Input / 1M | $5.00 | $0.30 | Codestral (Current Generation) (94% lower) |
| Cached Input / 1M | $0.50 | $0.03 | Codestral (Current Generation) lower |
| Output / 1M | $25.00 | $0.90 | Codestral (Current Generation) lower |
| Context Window | 1M | 256k | Claude Opus 5 (1M) |
| Max Generation Tokens | 16.4k | 8.2k | Claude Opus 5 |
| Tokenizer Family | Anthropic Claude BPE (~65k vocabulary) | Mistral Tekken BPE (~131k vocabulary) | — |
Opt for Claude Opus 5 when your engineering requirements prioritize Anthropic's ecosystem, specific tokenizer efficiencies (Calibrated Claude Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $5/M input rate.
Opt for Codestral (Current Generation) when looking for Mistral AI's tooling integration, specific context window depth (256k tokens), or when output generation volume favors its $0.9/M rate.