Side-by-side technical and economic comparison between Mistral AI's Mistral Large 3 and DeepSeek's DeepSeek-V4.1-Reasoner.
| Metric | Mistral Large 3 | DeepSeek-V4.1-Reasoner | Advantage |
|---|---|---|---|
| Provider Organization | Mistral AI | DeepSeek | — |
| Standard Input / 1M | $0.50 | $0.50 | Identical |
| Cached Input / 1M | $0.05 | $0.01 | DeepSeek-V4.1-Reasoner lower |
| Output / 1M | $1.50 | $2.50 | Mistral Large 3 lower |
| Context Window | 256k | 256k | Equal |
| Max Generation Tokens | 16.4k | 384k | DeepSeek-V4.1-Reasoner |
| Tokenizer Family | Mistral Tekken Tokenizer (131k vocabulary) | DeepSeek Byte-Level BPE (102k 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 DeepSeek-V4.1-Reasoner when looking for DeepSeek's tooling integration, specific context window depth (256k tokens), or when output generation volume favors its $2.5/M rate.