Side-by-side technical and economic comparison between Meta / Together's Llama 4 Scout (17B Active / 109B MoE) — Together AI and DeepSeek's DeepSeek-V3 (Legacy API Alias).
• Llama 4 Scout (17B Active / 109B MoE) — Together AI: Classified as a Legacy Reference model (Deprecated on Together AI (Reference)).
• DeepSeek-V3 (Legacy API Alias): Classified as a Legacy Reference model (Legacy Reference (API Aliased)).
| Metric | Llama 4 Scout (17B Active / 109B MoE) — Together AI | DeepSeek-V3 (Legacy API Alias) | Advantage |
|---|---|---|---|
| Provider Organization | Meta / Together | DeepSeek | — |
| Standard Input / 1M | $0.18 | $0.14 | DeepSeek-V3 (Legacy API Alias) (22% lower) |
| Cached Input / 1M | None | $0.014 | DeepSeek-V3 (Legacy API Alias) lower |
| Output / 1M | $0.59 | $0.28 | DeepSeek-V3 (Legacy API Alias) lower |
| Context Window | 328k | 128k | Llama 4 Scout (17B Active / 109B MoE) — Together AI (328k) |
| Max Generation Tokens | 16.4k | 8.2k | Llama 4 Scout (17B Active / 109B MoE) — Together AI |
| Tokenizer Family | Meta Llama 3/4 Tiktoken (128k vocabulary) | DeepSeek Byte-level BPE (~128k vocabulary) | — |
Opt for Llama 4 Scout (17B Active / 109B MoE) — Together AI when your engineering requirements prioritize Meta / Together's ecosystem, specific tokenizer efficiencies (Calibrated Llama 3 Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $0.18/M input rate.
Opt for DeepSeek-V3 (Legacy API Alias) when looking for DeepSeek's tooling integration, specific context window depth (128k tokens), or when output generation volume favors its $0.28/M rate.