DeepSeek V4-Pro — Especificações
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desenvolvedor | DeepSeek |
|---|---|
| Tipo | LLM (MoE) |
| Modalidade | Texto → Texto |
| Parâmetros | 1,6 trilhão no total / ~49 bilhões ativos (MoE) |
| Janela de contexto | 1 milhão |
| Saída máxima | 384 mil |
| Licença | MIT (aberta) |
| Pesos abertos | Sim |
| Lançado | 2026-04 |
| Preço da entrada | $0.435 /1M |
| Preço da saída | $0.87 /1M |
| Provedores de API | DeepSeek, OpenRouter |
Execute-o localmente
| VRAM (4 bits) | ~800 GB |
|---|---|
| GPU mínima | Servidor multi-GPU (ex.: 8× H100 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 1 milhão de tokens) | $0.435 |
|---|---|
| Saída (por 1 milhão de tokens) | $0.870 |
| Razão saída/entrada | 2× |
| Misturada (4:1 entrada:saída) | $0.522 por 1 milhão de tokens |
What DeepSeek V4-Pro costs per month
Gasto mensal real com uma proporção de entrada para saída de 4:1 — a razão efetivamente gerada por cargas de trabalho típicas de chat ou RAG.
| Carga de trabalho | Tokens/mês | Custo por mês |
|---|---|---|
| Projeto paralelo | 1 milhão de tokens de entrada / 0,25 milhão de tokens de saída | $0.65 |
| Equipe pequena | 20 milhões de tokens de entrada / 5 milhões de tokens de saída | $13 |
| Produção | 200 milhões de tokens de entrada / 50 milhões de tokens de saída | $131 |
Calcule seus próprios números na Calculadora de custos de API de IA.
Cheaper alternatives to DeepSeek V4-Pro
| Modelo | Custo médio ponderado por US$ 1 milhão | Você economiza |
|---|---|---|
| DeepSeek V4-Flash aberta | $0.168 | 68% mais barato |
Hospedar localmente ou pagar pela 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 autohospedagem versus API calcula o ponto de equilíbrio para seu volume de tokens.
Perguntas frequentes
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: Preços da API DeepSeek.
Os preços correspondem às tarifas listadas oficialmente para a API principal do modelo e são revisados conforme os provedores os atualizam. Descontos por volume, processamento em lote ou entradas em cache não estão incluídos. Compare todos os modelos lado a lado na Banco de dados de modelos de IA ou o Ranking de LLMs.