Side-by-side technical and economic comparison between Alibaba / Qwen's Qwen 2.5 72B Instruct — Together AI and OpenAI's OpenAI o1.
• Qwen 2.5 72B Instruct — Together AI: Classified as a Legacy Reference model (Deprecated on Together AI (Reference)).
• OpenAI o1: Classified as a Legacy Reference model (Generally Available).
| Metric | Qwen 2.5 72B Instruct — Together AI | OpenAI o1 | Advantage |
|---|---|---|---|
| Provider Organization | Alibaba / Qwen | OpenAI | — |
| Standard Input / 1M | $0.35 | $15.00 | Qwen 2.5 72B Instruct — Together AI (98% lower) |
| Cached Input / 1M | $0.175 | $7.50 | Qwen 2.5 72B Instruct — Together AI lower |
| Output / 1M | $0.40 | $60.00 | Qwen 2.5 72B Instruct — Together AI lower |
| Context Window | 128k | 200k | OpenAI o1 (200k) |
| Max Generation Tokens | 8.2k | 100k | OpenAI o1 |
| Tokenizer Family | Qwen Byte-level BPE (~152k vocabulary) | OpenAI o200k_base (200k 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 OpenAI o1 when looking for OpenAI's tooling integration, specific context window depth (200k tokens), or when output generation volume favors its $60/M rate.