Side-by-side technical and economic comparison between Mistral AI's Mistral Small 4 and Anthropic's Claude Sonnet 5.
| Metric | Mistral Small 4 | Claude Sonnet 5 | Advantage |
|---|---|---|---|
| Provider Organization | Mistral AI | Anthropic | — |
| Standard Input / 1M | $0.05 | $3.00 | Mistral Small 4 (98% lower) |
| Cached Input / 1M | $0.03 | $0.20 | Mistral Small 4 lower |
| Output / 1M | $0.08 | $15.00 | Mistral Small 4 lower |
| Context Window | 128k | 200k | Claude Sonnet 5 (200k) |
| Max Generation Tokens | 8.2k | 16.4k | Claude Sonnet 5 |
| Tokenizer Family | Mistral Tekken Tokenizer (131k vocabulary) | Anthropic Claude BPE (~65k 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 $0.05/M input rate.
Opt for Claude Sonnet 5 when looking for Anthropic's tooling integration, specific context window depth (200k tokens), or when output generation volume favors its $15/M rate.