Side-by-side technical and economic comparison between DeepSeek's DeepSeek-V4.1-Flash and Anthropic's Claude Haiku 4.5.
| Metric | DeepSeek-V4.1-Flash | Claude Haiku 4.5 | Advantage |
|---|---|---|---|
| Provider Organization | DeepSeek | Anthropic | — |
| Standard Input / 1M | $0.20 | $1.00 | DeepSeek-V4.1-Flash (80% lower) |
| Cached Input / 1M | $0.01 | $0.10 | DeepSeek-V4.1-Flash lower |
| Output / 1M | $0.80 | $5.00 | DeepSeek-V4.1-Flash lower |
| Context Window | 1.05M | 200k | DeepSeek-V4.1-Flash (1.05M) |
| Max Generation Tokens | 384k | 8.2k | DeepSeek-V4.1-Flash |
| Tokenizer Family | DeepSeek Byte-Level BPE (100k vocabulary) | Anthropic Claude BPE (~65k vocabulary) | — |
Opt for DeepSeek-V4.1-Flash when your engineering requirements prioritize DeepSeek's ecosystem, specific tokenizer efficiencies (Calibrated DeepSeek Tokenizer (±3%)), or when your expected prompt-to-completion ratios favor its $0.2/M input rate.
Opt for Claude Haiku 4.5 when looking for Anthropic's tooling integration, specific context window depth (200k tokens), or when output generation volume favors its $5/M rate.