{"id":1264,"date":"2026-06-23T14:45:03","date_gmt":"2026-06-23T14:45:03","guid":{"rendered":"https:\/\/convly.ai\/?p=1264"},"modified":"2026-06-23T14:45:03","modified_gmt":"2026-06-23T14:45:03","slug":"llama-4-maverick-vs-gpt-5-5","status":"publish","type":"post","link":"https:\/\/convly.ai\/fr\/llama-4-maverick-vs-gpt-5-5\/","title":{"rendered":"Llama 4 Maverick contre GPT-5.5 : sp\u00e9cifications, tarifs et choix (2026)"},"content":{"rendered":"

Llama 4 Maverick<\/strong> contre GPT-5.5<\/strong> \u2014 poids ouverts de Meta contre mod\u00e8le propri\u00e9taire d\u2019OpenAI. Voici ci-dessous une comparaison compl\u00e8te : sp\u00e9cifications techniques, tarifs des API, taille de la fen\u00eatre de contexte, exigences mat\u00e9rielles locales, ainsi qu\u2019une recommandation claire, fond\u00e9e sur des donn\u00e9es objectives, quant au choix \u00e0 privil\u00e9gier.<\/p>\n

\n \n \n
Sp\u00e9cifications<\/th>Llama 4 Maverick<\/a><\/th>GPT-5.5<\/a><\/th><\/tr><\/thead>\n
D\u00e9veloppeur<\/td>Meta<\/td>OpenAI<\/td><\/tr>\n
Type<\/td>Multimodal (MoE)<\/td>LLM (raisonnement)<\/td><\/tr>\n
Param\u00e8tres<\/td>400 milliards au total \/ 17 milliards actifs (MoE)<\/td>Non divulgu\u00e9<\/td><\/tr>\n
Fen\u00eatre de contexte<\/td>1 million<\/td>1,05 million<\/td><\/tr>\n
Modalit\u00e9<\/td>Texte, image \u2192 texte<\/td>Texte, vision \u2192 texte<\/td><\/tr>\n
Licence<\/td>Llama 4 Community (restreint \u00e0 l\u2019UE)<\/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>$0.15<\/td>$5.00<\/td><\/tr>\n
Co\u00fbt de sortie (en $\/million)<\/td>$0.6<\/td>$30.00<\/td><\/tr>\n
VRAM (4 bits)<\/td>~240 Go<\/td>\u2014<\/td><\/tr>\n
GPU minimal requis (en local)<\/td>Serveur multi-GPU<\/td>\u2014<\/td><\/tr>\n
Publi\u00e9<\/td>2025<\/td>2026<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

Principales diff\u00e9rences<\/h3>\n