Side-by-side technical and economic comparison between Alibaba / Qwen's Qwen 2.5 72B Instruct — Together AI and Anthropic's Claude Opus 5.
| Metric | Qwen 2.5 72B Instruct — Together AI | Claude Opus 5 | Advantage |
|---|---|---|---|
| Provider Organization | Alibaba / Qwen | Anthropic | — |
| Standard Input / 1M | $0.35 | $5.00 | Qwen 2.5 72B Instruct — Together AI (93% lower) |
| Cached Input / 1M | $0.175 | $0.50 | Qwen 2.5 72B Instruct — Together AI lower |
| Output / 1M | $0.40 | $25.00 | Qwen 2.5 72B Instruct — Together AI lower |
| Context Window | 128k | 1M | Claude Opus 5 (1M) |
| Max Generation Tokens | 8.2k | 16.4k | Claude Opus 5 |
| Tokenizer Family | Qwen Byte-level BPE (~152k vocabulary) | Anthropic Claude BPE (~65k 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 Claude Opus 5 when looking for Anthropic's tooling integration, specific context window depth (1M tokens), or when output generation volume favors its $25/M rate.