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.
| Spezifikation | DeepSeek V4-Pro | DeepSeek V4-Flash |
|---|---|---|
| Entwickler | DeepSeek | DeepSeek |
| Typ | LLM (MoE) | LLM (MoE) |
| Parameter | 1,6 Bio. insgesamt / ~49 Mrd. aktiv (MoE) | 284 Mrd. insgesamt / ~13 Mrd. aktiv (MoE) |
| Kontextfenster | 1 Mio. | 1 Mio. |
| Modalität | Text → Text | Text → Text |
| Lizenz | MIT (offen) | MIT (offen) |
| Offene Gewichte | ✅ Ja | ✅ Ja |
| Input price ($/1M) | $0.435 | $0.14 |
| Output price ($/1M) | $0.87 | $0.28 |
| VRAM (4-Bit) | ~800 GB | ~140 GB |
| Min GPU (local) | Multi-GPU-Server (z. B. 8× H100 mit 80 GB) | 2× H100 mit 80 GB (4-Bit) |
| Veröffentlicht | 2026-04 | 2026-04 |
Key differences
- Kosten: DeepSeek V4-Flash is 211% cheaper than DeepSeek V4-Pro on a blended-token basis.
- Offenheit: 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)).
Welches Modell sollten Sie wählen?
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 VRAM-Rechner · browse all 30+ models.
All specs and prices are pulled live from our Datenbank für KI-Modelle and kept current. Compare either model against others, or estimate your own monthly spend with the free calculators above.