{"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\/de\/deepseek-v4-pro-vs-deepseek-v4-flash\/","title":{"rendered":"DeepSeek V4-Pro vs. DeepSeek V4-Flash: Technische Daten, Preise & Entscheidungshilfe (2026)"},"content":{"rendered":"

DeepSeek V4-Pro<\/strong> vs. 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

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Spezifikation<\/th>DeepSeek V4-Pro<\/a><\/th>DeepSeek V4-Flash<\/a><\/th><\/tr><\/thead>\n
Entwickler<\/td>DeepSeek<\/td>DeepSeek<\/td><\/tr>\n
Typ<\/td>LLM (MoE)<\/td>LLM (MoE)<\/td><\/tr>\n
Parameter<\/td>1,6 Bio. insgesamt \/ ~49 Mrd. aktiv (MoE)<\/td>284 Mrd. insgesamt \/ ~13 Mrd. aktiv (MoE)<\/td><\/tr>\n
Kontextfenster<\/td>1 Mio.<\/td>1 Mio.<\/td><\/tr>\n
Modality<\/td>Text \u2192 Text<\/td>Text \u2192 Text<\/td><\/tr>\n
Lizenz<\/td>MIT (offen)<\/td>MIT (offen)<\/td><\/tr>\n
Offene Gewichte<\/td>\u2705 Yes<\/td>\u2705 Yes<\/td><\/tr>\n
Eingabepreis (pro 1 Mio. Token in USD)<\/td>$0.435<\/td>$0.14<\/td><\/tr>\n
Ausgabepreis (pro 1 Mio. Token in USD)<\/td>$0.87<\/td>$0.28<\/td><\/tr>\n
VRAM (4-Bit)<\/td>~800 GB<\/td>~140 GB<\/td><\/tr>\n
Mindest-GPU-Anforderung (lokal)<\/td>Multi-GPU-Server (z. B. 8\u00d7 H100 mit 80 GB)<\/td>2\u00d7 H100 80 GB (4-Bit)<\/td><\/tr>\n
Ver\u00f6ffentlicht<\/td>2026-04<\/td>2026-04<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
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