{"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\/de\/llama-3-3-70b-vs-qwen3-32b\/","title":{"rendered":"Llama 3.3 70B vs. Qwen3 32B: Spezifikationen, Preise & Entscheidungshilfe (2026)"},"content":{"rendered":"

Llama 3.3 70B<\/strong> vs. 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
Spezifikation<\/th>Llama 3.3 70B<\/a><\/th>Qwen3 32B<\/a><\/th><\/tr><\/thead>\n
Entwickler<\/td>Meta<\/td>Alibaba<\/td><\/tr>\n
Typ<\/td>LLM (dicht)<\/td>LLM (dicht)<\/td><\/tr>\n
Parameter<\/td>70B<\/td>32 Mrd.<\/td><\/tr>\n
Kontextfenster<\/td>128K<\/td>128K<\/td><\/tr>\n
Modalit\u00e4t<\/td>Text \u2192 Text<\/td>Text \u2192 Text<\/td><\/tr>\n
Lizenz<\/td>Llama 3.3 Community (offen)<\/td>Apache 2.0 (offen)<\/td><\/tr>\n
Offene Gewichte<\/td>\u2705 Ja<\/td>\u2705 Ja<\/td><\/tr>\n
Eingabepreis (pro 1 Mio. Token in USD)<\/td>$0.10<\/td>$0.08<\/td><\/tr>\n
Ausgabepreis (pro 1 Mio. Token in USD)<\/td>$0.32<\/td>$0.28<\/td><\/tr>\n
VRAM (4-Bit)<\/td>~40 GB<\/td>~20 GB<\/td><\/tr>\n
Mindest-GPU (lokal)<\/td>2\u00d7 RTX 4090 \/ 1\u00d7 48 GB<\/td>RTX 4090 24 GB (Q4)<\/td><\/tr>\n
Ver\u00f6ffentlichung<\/td>2024<\/td>2025<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

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