Side-by-side technical and economic comparison between Alibaba / Qwen's Qwen 2.5 72B Instruct — Together AI and Anthropic's Claude Fable 5.1.
| Metric | Qwen 2.5 72B Instruct — Together AI | Claude Fable 5.1 | Advantage |
|---|---|---|---|
| Provider Organization | Alibaba / Qwen | Anthropic | — |
| Standard Input / 1M | $0.35 | $10.00 | Qwen 2.5 72B Instruct — Together AI (97% lower) |
| Cached Input / 1M | $0.175 | $0.25 | Qwen 2.5 72B Instruct — Together AI lower |
| Output / 1M | $0.40 | $50.00 | Qwen 2.5 72B Instruct — Together AI lower |
| Context Window | 128k | 1M | Claude Fable 5.1 (1M) |
| Max Generation Tokens | 8.2k | 32k | Claude Fable 5.1 |
| 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 Fable 5.1 when looking for Anthropic's tooling integration, specific context window depth (1M tokens), or when output generation volume favors its $50/M rate.