Side-by-side technical and economic comparison between DeepSeek's DeepSeek-V4.1-Flash and OpenAI's OpenAI o1.
• OpenAI o1: Classified as a Legacy Reference model (Generally Available).
| Metric | DeepSeek-V4.1-Flash | OpenAI o1 | Advantage |
|---|---|---|---|
| Provider Organization | DeepSeek | OpenAI | — |
| Standard Input / 1M | $0.30 | $15.00 | DeepSeek-V4.1-Flash (98% lower) |
| Cached Input / 1M | $0.006 | $7.50 | DeepSeek-V4.1-Flash lower |
| Output / 1M | $1.20 | $60.00 | DeepSeek-V4.1-Flash lower |
| Context Window | 1.05M | 200k | DeepSeek-V4.1-Flash (1.05M) |
| Max Generation Tokens | 384k | 100k | DeepSeek-V4.1-Flash |
| Tokenizer Family | DeepSeek Byte-Level BPE (100k vocabulary) | OpenAI o200k_base (200k 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 $0.3/M input rate.
Opt for OpenAI o1 when looking for OpenAI's tooling integration, specific context window depth (200k tokens), or when output generation volume favors its $60/M rate.