{"id":1267,"date":"2026-06-23T14:45:03","date_gmt":"2026-06-23T14:45:03","guid":{"rendered":"https:\/\/convly.ai\/?p=1267"},"modified":"2026-06-23T14:45:03","modified_gmt":"2026-06-23T14:45:03","slug":"qwen3-32b-vs-gemma-3-27b","status":"publish","type":"post","link":"https:\/\/convly.ai\/es\/qwen3-32b-vs-gemma-3-27b\/","title":{"rendered":"Qwen3 32B vs Gemma 3 27B: Specs, Pricing & Which to Choose (2026)"},"content":{"rendered":"

Qwen3 32B<\/strong> frente a Gemma 3 27B<\/strong> \u2014 the best 4-bit single-GPU local models right now. 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>Qwen3 32B<\/a><\/th>Gemma 3 27B<\/a><\/th><\/tr><\/thead>\n
Desarrollador<\/td>Alibaba<\/td>Google<\/td><\/tr>\n
Tipo<\/td>LLM (denso)<\/td>LLM (multimodal)<\/td><\/tr>\n
Par\u00e1metros<\/td>32B<\/td>27B<\/td><\/tr>\n
Ventana de contexto<\/td>128K<\/td>128K<\/td><\/tr>\n
Modalidad<\/td>Texto \u2192 Texto<\/td>Texto, imagen \u2192 Texto<\/td><\/tr>\n
Licencia<\/td>Apache 2.0 (abierto)<\/td>Gemma (abierta)<\/td><\/tr>\n
Pesos abiertos<\/td>\u2705 S\u00ed<\/td>\u2705 S\u00ed<\/td><\/tr>\n
Precio de entrada ($\/mill\u00f3n)<\/td>$0.08<\/td>$0.08<\/td><\/tr>\n
Precio de salida ($\/mill\u00f3n)<\/td>$0.28<\/td>$0.16<\/td><\/tr>\n
VRAM (4 bits)<\/td>~20 GB<\/td>~16 GB<\/td><\/tr>\n
GPU m\u00ednima (local)<\/td>RTX 4090 de 24 GB (cuarto trimestre)<\/td>RTX 4080 16 GB \/ RTX 4090<\/td><\/tr>\n
Lanzado<\/td>2025<\/td>2025<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

Diferencias clave<\/h3>\n