Side-by-side technical and economic comparison between Anthropic's Claude Haiku 4.5 and Mistral AI's Mistral Large 3.
| Metric | Claude Haiku 4.5 | Mistral Large 3 | Advantage |
|---|---|---|---|
| Provider Organization | Anthropic | Mistral AI | — |
| Standard Input / 1M | $1.00 | $0.50 | Mistral Large 3 (50% lower) |
| Cached Input / 1M | $0.10 | $0.05 | Mistral Large 3 lower |
| Output / 1M | $5.00 | $1.50 | Mistral Large 3 lower |
| Context Window | 200k | 256k | Mistral Large 3 (256k) |
| Max Generation Tokens | 8.2k | 16.4k | Mistral Large 3 |
| Tokenizer Family | Anthropic Claude BPE (~65k vocabulary) | Mistral Tekken Tokenizer (131k vocabulary) | — |
Opt for Claude Haiku 4.5 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 $1/M input rate.
Opt for Mistral Large 3 when looking for Mistral AI's tooling integration, specific context window depth (256k tokens), or when output generation volume favors its $1.5/M rate.