{"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\/de\/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> vs. 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
Spezifikationen<\/th>Qwen3 32B<\/a><\/th>Gemma 3 27B<\/a><\/th><\/tr><\/thead>\n
Entwickler<\/td>Alibaba<\/td>Google<\/td><\/tr>\n
Typ<\/td>LLM (dicht)<\/td>LLM (multimodal)<\/td><\/tr>\n
Parameter<\/td>32\u00a0B<\/td>27 Mrd.<\/td><\/tr>\n
Kontextfenster<\/td>128K<\/td>128K<\/td><\/tr>\n
Modalit\u00e4t<\/td>Text \u2192 Text<\/td>Text, Bild \u2192 Text<\/td><\/tr>\n
Lizenz<\/td>Apache 2.0 (offen)<\/td>Gemma (offen)<\/td><\/tr>\n
Offene Gewichte<\/td>\u2705 Ja<\/td>\u2705 Ja<\/td><\/tr>\n
Eingabepreis ($\/1 Mio.)<\/td>$0.08<\/td>$0.08<\/td><\/tr>\n
Ausgabepreis ($\/1 Mio.)<\/td>$0.28<\/td>$0.16<\/td><\/tr>\n
VRAM (4-Bit)<\/td>ca. 20 GB<\/td>ca. 16 GB<\/td><\/tr>\n
Mindest-GPU (lokal)<\/td>RTX 4090 mit 24\u00a0GB (Q4)<\/td>RTX 4080 16 GB \/ RTX 4090<\/td><\/tr>\n
Ver\u00f6ffentlichungsdatum<\/td>2025<\/td>2025<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

Wesentliche Unterschiede<\/h3>\n