Side-by-side technical and economic comparison between DeepSeek's DeepSeek-V3 and Anthropic's Claude Sonnet 5.
| Metric | DeepSeek-V3 | Claude Sonnet 5 | Advantage |
|---|---|---|---|
| Provider Organization | DeepSeek | Anthropic | — |
| Standard Input / 1M | $0.14 | $2.00 | DeepSeek-V3 (93% lower) |
| Cached Input / 1M | $0.014 | $0.20 | DeepSeek-V3 lower |
| Output / 1M | $0.28 | $10.00 | DeepSeek-V3 lower |
| Context Window | 128k | 1M | Claude Sonnet 5 (1M) |
| Max Generation Tokens | 8.2k | 16.4k | Claude Sonnet 5 |
| Tokenizer Family | DeepSeek Byte-level BPE (~128k vocabulary) | Anthropic Claude BPE (~65k vocabulary) | — |
Opt for DeepSeek-V3 when your engineering requirements prioritize DeepSeek's ecosystem, specific tokenizer efficiencies (Exact DeepSeek Tokenizer (±2%)), or when your expected prompt-to-completion ratios favor its $0.14/M input rate.
Opt for Claude Sonnet 5 when looking for Anthropic's tooling integration, specific context window depth (1M tokens), or when output generation volume favors its $10/M rate.