Side-by-side technical and economic comparison between Mistral AI's Mistral Large 3 and Anthropic's Claude Sonnet 5.
| Metric | Mistral Large 3 | Claude Sonnet 5 | Advantage |
|---|---|---|---|
| Provider Organization | Mistral AI | Anthropic | — |
| Standard Input / 1M | $0.50 | $3.00 | Mistral Large 3 (83% lower) |
| Cached Input / 1M | $0.10 | $0.20 | Mistral Large 3 lower |
| Output / 1M | $1.50 | $15.00 | Mistral Large 3 lower |
| Context Window | 128k | 200k | Claude Sonnet 5 (200k) |
| Max Generation Tokens | 16.4k | 16.4k | Mistral Large 3 |
| Tokenizer Family | Mistral Tekken Tokenizer (131k vocabulary) | Anthropic Claude BPE (~65k vocabulary) | — |
Opt for Mistral Large 3 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 $0.5/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.