Side-by-side technical and economic comparison between DeepSeek's DeepSeek-V4.1-Flash 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 | DeepSeek-V4.1-Flash | Llama 3.1 405B — Together AI | Advantage |
|---|---|---|---|
| Provider Organization | DeepSeek | Meta / Together | — |
| Standard Input / 1M | $0.30 | $3.50 | DeepSeek-V4.1-Flash (91% lower) |
| Cached Input / 1M | $0.006 | None | DeepSeek-V4.1-Flash lower |
| Output / 1M | $1.20 | $3.50 | DeepSeek-V4.1-Flash lower |
| Context Window | 1.05M | 128k | DeepSeek-V4.1-Flash (1.05M) |
| Max Generation Tokens | 384k | 4.1k | DeepSeek-V4.1-Flash |
| Tokenizer Family | DeepSeek Byte-Level BPE (100k vocabulary) | Meta Llama 3 Tiktoken BPE (~128k vocabulary) | — |
Opt for DeepSeek-V4.1-Flash when your engineering requirements prioritize DeepSeek's ecosystem, specific tokenizer efficiencies (Calibrated DeepSeek Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $0.3/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.