DeepSeek V4-Pro vs DeepSeek V4-Flash — DeepSeek’s flagship versus its budget Flash model. Below is the full side-by-side: specifications, API pricing, context window, local hardware requirements, and a clear, data-driven recommendation on which to pick.
| Specifiche | DeepSeek V4-Pro | DeepSeek V4-Flash |
|---|---|---|
| Sviluppatore | DeepSeek | DeepSeek |
| Tipo | LLM (MoE) | LLM (MoE) |
| Parametri | 1,6 trilioni totali / ~49 miliardi attivi (MoE) | 284 miliardi totali / ~13 miliardi attivi (MoE) |
| Finestra di contesto | 1 milione | 1 milione |
| Modalità | Testo → Testo | Testo → Testo |
| Licenza | MIT (open) | MIT (open) |
| Pesi aperti | ✅ Sì | ✅ Sì |
| Input price ($/1M) | $0.435 | $0.14 |
| Output price ($/1M) | $0.87 | $0.28 |
| VRAM (4-bit) | ~800 GB | ~140 GB |
| Min GPU (local) | Server multi-GPU (es. 8× H100 da 80 GB) | 2× H100 80 GB (4 bit) |
| Rilasciato | 2026-04 | 2026-04 |
Key differences
- Costo: DeepSeek V4-Flash is 211% cheaper than DeepSeek V4-Pro on a blended-token basis.
- Apertura: both are open-weight, so either can be self-hosted or fine-tuned. Compare their VRAM needs above to see what your GPU can run.
- Run DeepSeek V4-Pro locally: ~~800 GB at 4-bit (min Multi-GPU server (e.g. 8× H100 80GB)).
- Run DeepSeek V4-Flash locally: ~~140 GB at 4-bit (min 2× H100 80GB (4-bit)).
Quale scegliere?
Choose DeepSeek V4-Pro if it fits your existing stack or you prefer DeepSeek.
Choose DeepSeek V4-Flash if you want the lower per-token cost for high-volume workloads.
→ Estimate real costs in the API cost calculator · check local hardware in the calcolatore di VRAM · browse all 30+ models.
All specs and prices are pulled live from our database di modelli AI and kept current. Compare either model against others, or estimate your own monthly spend with the free calculators above.