{"id":1272,"date":"2026-06-23T14:45:04","date_gmt":"2026-06-23T14:45:04","guid":{"rendered":"https:\/\/convly.ai\/?p=1272"},"modified":"2026-06-23T14:45:04","modified_gmt":"2026-06-23T14:45:04","slug":"mistral-nemo-12b-vs-gemma-3-12b","status":"publish","type":"post","link":"https:\/\/convly.ai\/fr\/mistral-nemo-12b-vs-gemma-3-12b\/","title":{"rendered":"Mistral NeMo 12B contre Gemma 3 12B : sp\u00e9cifications, tarifs et choix recommand\u00e9 (2026)"},"content":{"rendered":"

Mistral NeMo 12B<\/strong> contre Gemma 3 12B<\/strong> \u2014 deux mod\u00e8les performants de 12 milliards de param\u00e8tres destin\u00e9s \u00e0 l\u2019inf\u00e9rence locale. Voici ci-dessous une comparaison compl\u00e8te : sp\u00e9cifications techniques, tarifs d\u2019API, fen\u00eatre de contexte, exigences mat\u00e9rielles locales, 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>Mistral NeMo 12B<\/a><\/th>Gemma 3 12B<\/a><\/th><\/tr><\/thead>\n
D\u00e9veloppeur<\/td>Mistral AI<\/td>Google<\/td><\/tr>\n
Type<\/td>LLM (dense)<\/td>LLM (multimodal)<\/td><\/tr>\n
Param\u00e8tres<\/td>12B<\/td>12B<\/td><\/tr>\n
Fen\u00eatre de contexte<\/td>128 K<\/td>128 K<\/td><\/tr>\n
Modalit\u00e9<\/td>Texte \u2192 Texte<\/td>Texte, Image \u2192 Texte<\/td><\/tr>\n
Licence<\/td>Apache 2.0 (ouverte)<\/td>Gemma (ouverte)<\/td><\/tr>\n
Poids ouverts<\/td>\u2705 Oui<\/td>\u2705 Oui<\/td><\/tr>\n
Prix d\u2019entr\u00e9e (en $\/million)<\/td>$0.02<\/td>$0.05<\/td><\/tr>\n
Prix de sortie (en $\/million)<\/td>$0.04<\/td>$0.15<\/td><\/tr>\n
VRAM (4 bits)<\/td>~7,5 Go<\/td>~8 Go<\/td><\/tr>\n
GPU minimal requis (en local)<\/td>RTX 4070 12 Go \/ RTX 3060<\/td>RTX 4070 12 Go<\/td><\/tr>\n
Sorti en<\/td>2024<\/td>2025<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

Principales diff\u00e9rences<\/h3>\n