Side-by-side technical and economic comparison between Meta / Together's Llama 3.1 405B — Together AI and Meta / Together's Llama 4 Vivas.
• Llama 3.1 405B — Together AI: Classified as a Legacy Reference model (Deprecated on Together AI (Reference)).
| Metric | Llama 3.1 405B — Together AI | Llama 4 Vivas | Advantage |
|---|---|---|---|
| Provider Organization | Meta / Together | Meta / Together | — |
| Standard Input / 1M | $3.50 | $0.25 | Llama 4 Vivas (93% lower) |
| Cached Input / 1M | None | $0.06 | Llama 4 Vivas lower |
| Output / 1M | $3.50 | $0.85 | Llama 4 Vivas lower |
| Context Window | 128k | 1M | Llama 4 Vivas (1M) |
| Max Generation Tokens | 4.1k | 128k | Llama 4 Vivas |
| Tokenizer Family | Meta Llama 3 Tiktoken BPE (~128k vocabulary) | Meta Llama 3 Tokenizer (128k vocabulary) | — |
Opt for Llama 3.1 405B — Together AI when your engineering requirements prioritize Meta / Together's ecosystem, specific tokenizer efficiencies (Exact Llama 3 Tokenizer (±2%)), or when your expected prompt-to-completion ratios favor its $3.5/M input rate.
Opt for Llama 4 Vivas when looking for Meta / Together's tooling integration, specific context window depth (1M tokens), or when output generation volume favors its $0.85/M rate.