Side-by-side technical and economic comparison between Alibaba / Qwen's Qwen 2.5 72B Instruct — Together AI and DeepSeek's DeepSeek-V3 (Legacy API Alias).
• Qwen 2.5 72B Instruct — 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 | Qwen 2.5 72B Instruct — Together AI | DeepSeek-V3 (Legacy API Alias) | Advantage |
|---|---|---|---|
| Provider Organization | Alibaba / Qwen | DeepSeek | — |
| Standard Input / 1M | $0.35 | $0.14 | DeepSeek-V3 (Legacy API Alias) (60% lower) |
| Cached Input / 1M | $0.175 | $0.014 | DeepSeek-V3 (Legacy API Alias) lower |
| Output / 1M | $0.40 | $0.28 | DeepSeek-V3 (Legacy API Alias) lower |
| Context Window | 128k | 128k | Qwen 2.5 72B Instruct — Together AI (128k) |
| Max Generation Tokens | 8.2k | 8.2k | Qwen 2.5 72B Instruct — Together AI |
| Tokenizer Family | Qwen Byte-level BPE (~152k vocabulary) | DeepSeek Byte-level BPE (~128k vocabulary) | — |
Opt for Qwen 2.5 72B Instruct — Together AI when your engineering requirements prioritize Alibaba / Qwen's ecosystem, specific tokenizer efficiencies (Calibrated Qwen Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $0.35/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.