{"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\/fr\/deepseek-v4-pro-vs-deepseek-v4-flash\/","title":{"rendered":"DeepSeek V4-Pro vs DeepSeek V4-Flash: Specs, Pricing & Which to Choose (2026)"},"content":{"rendered":"

DeepSeek V4-Pro<\/strong> contre 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

\n \n \n
Sp\u00e9cifications<\/th>DeepSeek V4-Pro<\/a><\/th>DeepSeek V4-Flash<\/a><\/th><\/tr><\/thead>\n
D\u00e9veloppeur<\/td>DeepSeek<\/td>DeepSeek<\/td><\/tr>\n
Type<\/td>LLM (MoE)<\/td>LLM (MoE)<\/td><\/tr>\n
Param\u00e8tres<\/td>1,6 trillion au total \/ ~49 milliards actifs (MoE)<\/td>284 milliards au total \/ ~13 milliards actifs (MoE)<\/td><\/tr>\n
Fen\u00eatre de contexte<\/td>1 million<\/td>1 million<\/td><\/tr>\n
Modalit\u00e9<\/td>Texte \u2192 Texte<\/td>Texte \u2192 Texte<\/td><\/tr>\n
Licence<\/td>MIT (open)<\/td>MIT (open)<\/td><\/tr>\n
Poids ouverts<\/td>\u2705 Oui<\/td>\u2705 Oui<\/td><\/tr>\n
Prix d'entr\u00e9e (en $\/million)<\/td>$0.435<\/td>$0.14<\/td><\/tr>\n
Prix de sortie (en $\/million)<\/td>$0.87<\/td>$0.28<\/td><\/tr>\n
VRAM (4 bits)<\/td>~800 Go<\/td>~140 Go<\/td><\/tr>\n
GPU minimal requis (en local)<\/td>Serveur multi-GPU (par ex. 8 \u00d7 H100 80 Go)<\/td>2 \u00d7 H100 80 Go (quantification 4 bits)<\/td><\/tr>\n
Sortie<\/td>2026-04<\/td>2026-04<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

Principales diff\u00e9rences<\/h3>\n