{"id":1268,"date":"2026-06-23T14:45:04","date_gmt":"2026-06-23T14:45:04","guid":{"rendered":"https:\/\/convly.ai\/?p=1268"},"modified":"2026-06-23T14:45:04","modified_gmt":"2026-06-23T14:45:04","slug":"llama-3-3-70b-vs-qwen3-32b","status":"publish","type":"post","link":"https:\/\/convly.ai\/es\/llama-3-3-70b-vs-qwen3-32b\/","title":{"rendered":"Llama 3.3 de 70B frente a Qwen3 de 32B: especificaciones, precios y cu\u00e1l elegir (2026)"},"content":{"rendered":"

Llama 3.3 70B<\/strong> frente a Qwen3 32B<\/strong> \u2014 70B versus 32B for local power users. 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>Llama 3.3 70B<\/a><\/th>Qwen3 32B<\/a><\/th><\/tr><\/thead>\n
Desarrollador<\/td>Meta<\/td>Alibaba<\/td><\/tr>\n
Tipo<\/td>LLM (denso)<\/td>LLM (denso)<\/td><\/tr>\n
Par\u00e1metros<\/td>70B<\/td>32B<\/td><\/tr>\n
Ventana de contexto<\/td>128K<\/td>128K<\/td><\/tr>\n
Modalidad<\/td>Texto \u2192 Texto<\/td>Texto \u2192 Texto<\/td><\/tr>\n
Licencia<\/td>Comunidad Llama 3.3 (abierta)<\/td>Apache 2.0 (abierto)<\/td><\/tr>\n
Pesos abiertos<\/td>\u2705 S\u00ed<\/td>\u2705 S\u00ed<\/td><\/tr>\n
Precio de entrada ($\/mill\u00f3n)<\/td>$0.10<\/td>$0.08<\/td><\/tr>\n
Precio de salida ($\/mill\u00f3n)<\/td>$0.32<\/td>$0.28<\/td><\/tr>\n
VRAM (4 bits)<\/td>~40 GB<\/td>~20 GB<\/td><\/tr>\n
GPU m\u00ednima (local)<\/td>2\u00d7 RTX 4090 \/ 1\u00d7 48 GB<\/td>RTX 4090 de 24 GB (Q4)<\/td><\/tr>\n
Lanzado<\/td>2024<\/td>2025<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

Diferencias clave<\/h3>\n