{"id":1279,"date":"2026-06-23T14:45:04","date_gmt":"2026-06-23T14:45:04","guid":{"rendered":"https:\/\/convly.ai\/?p=1279"},"modified":"2026-06-23T14:45:04","modified_gmt":"2026-06-23T14:45:04","slug":"gemma-3-27b-vs-llama-3-3-70b","status":"publish","type":"post","link":"https:\/\/convly.ai\/fr\/gemma-3-27b-vs-llama-3-3-70b\/","title":{"rendered":"Gemma 3 27B vs Llama 3.3 70B: Specs, Pricing & Which to Choose (2026)"},"content":{"rendered":"

Gemma 3 27B<\/strong> vs Llama 3.3 70B<\/strong> \u2014 Google’s efficient 27B versus Meta’s 70B. 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>Gemma 3 27B<\/a><\/th>Llama 3.3 70B<\/a><\/th><\/tr><\/thead>\n
D\u00e9veloppeur<\/td>Google<\/td>Meta<\/td><\/tr>\n
Type<\/td>LLM (multimodal)<\/td>LLM (dense)<\/td><\/tr>\n
Param\u00e8tres<\/td>27 milliards<\/td>70\u00a0milliards<\/td><\/tr>\n
Fen\u00eatre de contexte<\/td>128 K<\/td>128 K<\/td><\/tr>\n
Modalit\u00e9<\/td>Texte, image \u2192 texte<\/td>Texte \u2192 Texte<\/td><\/tr>\n
Licence<\/td>Gemma (ouverte)<\/td>Communaut\u00e9 Llama 3.3 (ouverte)<\/td><\/tr>\n
Poids ouverts<\/td>\u2705 Oui<\/td>\u2705 Oui<\/td><\/tr>\n
Input price ($\/1M)<\/td>$0.08<\/td>$0.10<\/td><\/tr>\n
Output price ($\/1M)<\/td>$0.16<\/td>$0.32<\/td><\/tr>\n
VRAM (4 bits)<\/td>~16 Go<\/td>~40\u00a0Go<\/td><\/tr>\n
Min GPU (local)<\/td>RTX 4080 16 Go \/ RTX 4090<\/td>2 \u00d7 RTX 4090 ou 1 \u00d7 GPU 48\u00a0Go<\/td><\/tr>\n
Date de sortie<\/td>2025<\/td>2024<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
\n

Key differences<\/h3>\n