DeepSeek V4-Pro — Especificaciones
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desarrollador | DeepSeek |
|---|---|
| Tipo | LLM (MoE) |
| Modalidad | Texto → Texto |
| Parámetros | 1,6 billones en total / ~49 mil millones activos (MoE) |
| Ventana de contexto | 1 millón |
| Salida máxima | 384 K |
| Licencia | MIT (abierto) |
| Pesos abiertos | Sí |
| Lanzado | 2026-04 |
| Precio de entrada | $0.435 /1M |
| Precio de salida | $0.87 /1M |
| Proveedores de API | DeepSeek, OpenRouter |
Ejecútelo localmente
| VRAM (4 bits) | ~800 GB |
|---|---|
| GPU mínima | Servidor multi-GPU (p. ej., 8× H100 de 80 GB) |
What is DeepSeek V4-Pro?
DeepSeek V4-Pro is the company’s open flagship: a 1.6-trillion-parameter mixture-of-experts
activating around 49B parameters per token, with a 1M-token context window and MIT-licensed
weights. The API speaks both OpenAI and Anthropic request formats, which makes it unusually
easy to drop into an existing codebase — often a base-URL and key change rather than a
rewrite.
Pricing is $0.435 in / $0.87 out per million tokens, which blends to roughly $0.52 — around
a twentieth of frontier pricing for a model that holds its own on general reasoning. That
ratio, not the parameter count, is why V4-Pro matters. The dual-format API compatibility
compounds it: the switching cost that normally protects incumbent providers largely
disappears, so V4-Pro is a genuine option for teams that would otherwise never evaluate a
Chinese lab’s model. Self-hosting is a data-centre exercise — roughly 800 GB of VRAM at
4-bit, so eight H100 80GBs or more — meaning the open licence here buys auditability and
provider portability rather than a realistic on-premises deployment for most organisations.
DeepSeek V4-Pro pricing: API cost per 1M tokens
| Entrada (por cada millón de tokens) | $0.435 |
|---|---|
| Salida (por cada millón de tokens) | $0.870 |
| Relación salida/entrada | 2× |
| Combinada (4:1 entrada:salida) | $0.522 por 1 millón de tokens |
What DeepSeek V4-Pro costs per month
Gasto mensual real con una mezcla entrada:salida de 4:1, es decir, la proporción que realmente genera una carga de trabajo típica de chat o RAG.
| Carga de trabajo | Tokens/mes | Coste mensual |
|---|---|---|
| Proyecto secundario | 1 millón de tokens de entrada / 0,25 millones de tokens de salida | $0.65 |
| Pequeño equipo | 20 millones de tokens de entrada / 5 millones de tokens de salida | $13 |
| Producción | 200 millones de tokens de entrada / 50 millones de tokens de salida | $131 |
Calcule sus propios números en la Calculadora de costos de API de IA.
Cheaper alternatives to DeepSeek V4-Pro
| Modelo | Dólares por millón combinados | Usted ahorra |
|---|---|---|
| DeepSeek V4-Flash abierta | $0.168 | un 68 % más económico |
¿Autoalojarlo o pagar por la API?
DeepSeek V4-Pro is open-weight, so you can run it yourself. It needs ~800 GB of VRAM at 4-bit (Multi-GPU server (e.g. 8× H100 80GB)). Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calculadora de autohospedaje frente a API calcula el punto de equilibrio para su volumen de tokens.
Preguntas frecuentes
How much does DeepSeek V4-Pro cost per 1M tokens?
DeepSeek V4-Pro costs $0.435 per 1M input tokens and $0.870 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.522 per 1M tokens.
How much does DeepSeek V4-Pro cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $13 on DeepSeek V4-Pro. A side project (1M in / 0.25M out) costs roughly $0.65.
What is a cheaper alternative to DeepSeek V4-Pro?
DeepSeek V4-Flash is the strongest cheaper option in our database at $0.168 per 1M blended — about 68% less than DeepSeek V4-Pro. It is also open-weight, so self-hosting is an option.
Can I run DeepSeek V4-Pro locally?
Yes. DeepSeek V4-Pro is open-weight and needs about ~800 GB of VRAM at 4-bit quantisation (Multi-GPU server (e.g. 8× H100 80GB)).
Why does DeepSeek V4-Pro charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. DeepSeek V4-Pro charges 2× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
See every DeepSeek model priced side by side: Precios de la API de DeepSeek.
Los precios corresponden a las tarifas oficiales publicadas para la API principal del modelo y se revisan periódicamente conforme los proveedores los actualicen. No incluyen descuentos por volumen, procesamiento por lotes ni entradas en caché. Compare todos los modelos uno al lado del otro en la Base de datos de modelos de IA o el Clasificación de modelos de lenguaje grande (LLM).