Side-by-side technical and economic comparison between Mistral AI's Mistral Small 4 and Meta / Together's Llama 3.1 405B — Together AI.
• Llama 3.1 405B — Together AI: Classified as a Legacy Reference model (Deprecated on Together AI (Reference)).
| Metric | Mistral Small 4 | Llama 3.1 405B — Together AI | Advantage |
|---|---|---|---|
| Provider Organization | Mistral AI | Meta / Together | — |
| Standard Input / 1M | $0.15 | $3.50 | Mistral Small 4 (96% lower) |
| Cached Input / 1M | $0.015 | None | Mistral Small 4 lower |
| Output / 1M | $0.60 | $3.50 | Mistral Small 4 lower |
| Context Window | 256k | 128k | Mistral Small 4 (256k) |
| Max Generation Tokens | 8.2k | 4.1k | Mistral Small 4 |
| Tokenizer Family | Mistral Tekken Tokenizer (131k vocabulary) | Meta Llama 3 Tiktoken BPE (~128k 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 $0.15/M input rate.
Opt for Llama 3.1 405B — Together AI when looking for Meta / Together's tooling integration, specific context window depth (128k tokens), or when output generation volume favors its $3.5/M rate.