Side-by-side technical and economic comparison between Meta / Together's Llama 3.1 405B — Together AI and Google's Gemini 3.8 Pro.
• Llama 3.1 405B — Together AI: Classified as a Legacy Reference model (Deprecated on Together AI (Reference)).
| Metric | Llama 3.1 405B — Together AI | Gemini 3.8 Pro | Advantage |
|---|---|---|---|
| Provider Organization | Meta / Together | — | |
| Standard Input / 1M | $3.50 | $4.00 | Llama 3.1 405B — Together AI (13% lower) |
| Cached Input / 1M | None | $0.40 | Gemini 3.8 Pro lower |
| Output / 1M | $3.50 | $18.00 | Llama 3.1 405B — Together AI lower |
| Context Window | 128k | 1.05M | Gemini 3.8 Pro (1.05M) |
| Max Generation Tokens | 4.1k | 64k | Gemini 3.8 Pro |
| Tokenizer Family | Meta Llama 3 Tiktoken BPE (~128k vocabulary) | Google Gemini SentencePiece (256k 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 Gemini 3.8 Pro when looking for Google's tooling integration, specific context window depth (1.05M tokens), or when output generation volume favors its $18/M rate.