Side-by-side technical and economic comparison between Mistral AI's Mistral Large 3 and xAI's Grok 4.6.
| Metric | Mistral Large 3 | Grok 4.6 | Advantage |
|---|---|---|---|
| Provider Organization | Mistral AI | xAI | — |
| Standard Input / 1M | $0.50 | $2.00 | Mistral Large 3 (75% lower) |
| Cached Input / 1M | $0.05 | $0.50 | Mistral Large 3 lower |
| Output / 1M | $1.50 | $6.00 | Mistral Large 3 lower |
| Context Window | 256k | 500k | Grok 4.6 (500k) |
| Max Generation Tokens | 16.4k | 128k | Grok 4.6 |
| Tokenizer Family | Mistral Tekken Tokenizer (131k vocabulary) | xAI Byte-level BPE (~131k 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 Grok 4.6 when looking for xAI's tooling integration, specific context window depth (500k tokens), or when output generation volume favors its $6/M rate.