Side-by-side technical and economic comparison between Anthropic's Claude Haiku 4.5 and DeepSeek's DeepSeek-V4.1-Reasoner.
| Metric | Claude Haiku 4.5 | DeepSeek-V4.1-Reasoner | Advantage |
|---|---|---|---|
| Provider Organization | Anthropic | DeepSeek | — |
| Standard Input / 1M | $1.00 | $0.50 | DeepSeek-V4.1-Reasoner (50% lower) |
| Cached Input / 1M | $0.10 | $0.01 | DeepSeek-V4.1-Reasoner lower |
| Output / 1M | $5.00 | $2.50 | DeepSeek-V4.1-Reasoner lower |
| Context Window | 200k | 256k | DeepSeek-V4.1-Reasoner (256k) |
| Max Generation Tokens | 8.2k | 384k | DeepSeek-V4.1-Reasoner |
| Tokenizer Family | Anthropic Claude BPE (~65k vocabulary) | DeepSeek Byte-Level BPE (102k vocabulary) | — |
Opt for Claude Haiku 4.5 when your engineering requirements prioritize Anthropic's ecosystem, specific tokenizer efficiencies (Calibrated Claude Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $1/M input rate.
Opt for DeepSeek-V4.1-Reasoner when looking for DeepSeek's tooling integration, specific context window depth (256k tokens), or when output generation volume favors its $2.5/M rate.