{"id":1266,"date":"2026-06-23T14:45:03","date_gmt":"2026-06-23T14:45:03","guid":{"rendered":"https:\/\/convly.ai\/?p=1266"},"modified":"2026-06-23T14:45:03","modified_gmt":"2026-06-23T14:45:03","slug":"deepseek-v4-flash-vs-gemini-3-5-flash","status":"publish","type":"post","link":"https:\/\/convly.ai\/fr\/deepseek-v4-flash-vs-gemini-3-5-flash\/","title":{"rendered":"DeepSeek V4-Flash contre Gemini 3.5 Flash : sp\u00e9cifications, tarifs et choix (2026)"},"content":{"rendered":"

DeepSeek V4-Flash<\/strong> contre Gemini 3.5 Flash<\/strong> \u2014 les deux mod\u00e8les rapides les moins chers, compar\u00e9s sur la base de leurs co\u00fbts r\u00e9els. Voici ci-dessous une comparaison d\u00e9taill\u00e9e : sp\u00e9cifications techniques, tarifs d\u2019API, fen\u00eatre de contexte, exigences mat\u00e9rielles pour un d\u00e9ploiement local, ainsi qu\u2019une recommandation claire, fond\u00e9e sur des donn\u00e9es objectives, quant au mod\u00e8le \u00e0 privil\u00e9gier.<\/p>\n

\n \n \n
Sp\u00e9cifications<\/th>DeepSeek V4-Flash<\/a><\/th>Gemini 3.5 Flash<\/a><\/th><\/tr><\/thead>\n
D\u00e9veloppeur<\/td>DeepSeek<\/td>Google<\/td><\/tr>\n
Type<\/td>LLM (architecture MoE)<\/td>LLM (multimodale)<\/td><\/tr>\n
Param\u00e8tres<\/td>284 milliards au total \/ ~13 milliards actifs (MoE)<\/td>Non divulgu\u00e9<\/td><\/tr>\n
Fen\u00eatre de contexte<\/td>1 million<\/td>1 million<\/td><\/tr>\n
Modalit\u00e9<\/td>Texte \u2192 Texte<\/td>Texte, image, audio, vid\u00e9o \u2192 Texte<\/td><\/tr>\n
Licence<\/td>MIT (ouverte)<\/td>Propri\u00e9taire<\/td><\/tr>\n
Poids ouverts<\/td>\u2705 Yes<\/td>\u274c No<\/td><\/tr>\n
Co\u00fbt d\u2019entr\u00e9e (en $\/million)<\/td>$0.14<\/td>$1.50<\/td><\/tr>\n
Co\u00fbt de sortie (en $\/million)<\/td>$0.28<\/td>$9.00<\/td><\/tr>\n
VRAM (4 bits)<\/td>~140 Go<\/td>\u2014<\/td><\/tr>\n
GPU minimal requis (en local)<\/td>2\u00d7 H100 80 Go (4 bits)<\/td>\u2014<\/td><\/tr>\n
Publi\u00e9<\/td>2026-04<\/td>2026<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

Principales diff\u00e9rences<\/h3>\n