{"id":1278,"date":"2026-06-23T14:45:04","date_gmt":"2026-06-23T14:45:04","guid":{"rendered":"https:\/\/convly.ai\/?p=1278"},"modified":"2026-06-23T14:45:04","modified_gmt":"2026-06-23T14:45:04","slug":"deepseek-v4-pro-vs-deepseek-v4-flash","status":"publish","type":"post","link":"https:\/\/convly.ai\/es\/deepseek-v4-pro-vs-deepseek-v4-flash\/","title":{"rendered":"DeepSeek V4-Pro vs DeepSeek V4-Flash: Specs, Pricing & Which to Choose (2026)"},"content":{"rendered":"

DeepSeek V4-Pro<\/strong> frente a DeepSeek V4-Flash<\/strong> \u2014 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.<\/p>\n

\n \n \n
Especificaciones<\/th>DeepSeek V4-Pro<\/a><\/th>DeepSeek V4-Flash<\/a><\/th><\/tr><\/thead>\n
Desarrollador<\/td>DeepSeek<\/td>DeepSeek<\/td><\/tr>\n
Tipo<\/td>LLM (MoE)<\/td>LLM (MoE)<\/td><\/tr>\n
Par\u00e1metros<\/td>1,6 billones totales \/ ~49 000 millones activos (MoE)<\/td>284 000 millones totales \/ ~13 000 millones activos (MoE)<\/td><\/tr>\n
Ventana de contexto<\/td>1 mill\u00f3n<\/td>1 mill\u00f3n<\/td><\/tr>\n
Modalidad<\/td>Texto \u2192 Texto<\/td>Texto \u2192 Texto<\/td><\/tr>\n
Licencia<\/td>MIT (abierto)<\/td>MIT (abierto)<\/td><\/tr>\n
Pesos abiertos<\/td>\u2705 S\u00ed<\/td>\u2705 S\u00ed<\/td><\/tr>\n
Precio de entrada (USD\/mill\u00f3n)<\/td>$0.435<\/td>$0.14<\/td><\/tr>\n
Precio de salida (USD\/mill\u00f3n)<\/td>$0.87<\/td>$0.28<\/td><\/tr>\n
VRAM (4 bits)<\/td>~800 GB<\/td>~140 GB<\/td><\/tr>\n
GPU m\u00ednima (local)<\/td>Servidor con m\u00faltiples GPU (por ejemplo, 8\u00d7 H100 de 80 GB)<\/td>2\u00d7 H100 de 80 GB (4 bits)<\/td><\/tr>\n
Lanzamiento<\/td>2026-04<\/td>2026-04<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
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Diferencias clave<\/h3>\n