{"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\/ar\/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
\u0627\u0644\u0645\u0648\u0627\u0635\u0641\u0627\u062a<\/th>Gemma 3 27B<\/a><\/th>Llama 3.3 70B<\/a><\/th><\/tr><\/thead>\n
\u0627\u0644\u0645\u0637\u0648\u0651\u0631<\/td>\u062c\u0648\u062c\u0644<\/td>\u0645\u064a\u062a\u0627<\/td><\/tr>\n
\u0627\u0644\u0646\u0648\u0639<\/td>\u0646\u0645\u0648\u0630\u062c \u0644\u063a\u0648\u064a \u0643\u0628\u064a\u0631 (\u0645\u062a\u0639\u062f\u062f \u0627\u0644\u0648\u0633\u0627\u0626\u0637)<\/td>\u0646\u0645\u0648\u0630\u062c \u0644\u063a\u0648\u064a \u0643\u0628\u064a\u0631 (\u0643\u062b\u064a\u0641)<\/td><\/tr>\n
\u0639\u062f\u062f \u0627\u0644\u0645\u064f\u0639\u0627\u0645\u0644\u0627\u062a<\/td>27 \u0645\u0644\u064a\u0627\u0631<\/td>70 \u0645\u0644\u064a\u0627\u0631 \u0645\u0639\u0644\u064e\u0651\u0645\u0629<\/td><\/tr>\n
\u0646\u0627\u0641\u0630\u0629 \u0627\u0644\u0633\u064a\u0627\u0642<\/td>128K<\/td>128K<\/td><\/tr>\n
\u0627\u0644\u0648\u0633\u064a\u0644\u0629<\/td>\u0646\u0635 + \u0635\u0648\u0631\u0629 \u2192 \u0646\u0635<\/td>\u0646\u0635 \u2192 \u0646\u0635<\/td><\/tr>\n
\u0627\u0644\u062a\u0631\u062e\u064a\u0635<\/td>Gemma (\u0645\u0641\u062a\u0648\u062d \u0627\u0644\u0645\u0635\u062f\u0631)<\/td>\u0645\u062c\u062a\u0645\u0639 Llama 3.3 (\u0645\u0641\u062a\u0648\u062d \u0627\u0644\u0645\u0635\u062f\u0631)<\/td><\/tr>\n
\u0623\u0648\u0632\u0627\u0646 \u0645\u0641\u062a\u0648\u062d\u0629<\/td>\u2705 \u0646\u0639\u0645<\/td>\u2705 \u0646\u0639\u0645<\/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
\u0627\u0644\u0630\u0627\u0643\u0631\u0629 \u0627\u0644\u0645\u062e\u0635\u0635\u0629 \u0644\u0648\u062d\u062f\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0631\u0633\u0648\u0645\u0627\u062a (VRAM) (\u0628\u062a\u0639\u0645\u064a\u0642 4 \u0628\u062a)<\/td>\u062d\u0648\u0627\u0644\u064a \u0661\u0666 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a<\/td>\u062d\u0648\u0627\u0644\u064a 40 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a<\/td><\/tr>\n
Min GPU (local)<\/td>RTX 4080 \u0628\u0633\u0639\u0629 \u0661\u0666 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a \/ RTX 4090<\/td>\u0648\u062d\u062f\u062a\u0627\u0646 \u0645\u0646 RTX 4090 \u0623\u0648 \u0648\u062d\u062f\u0629 \u0648\u0627\u062d\u062f\u0629 \u0628\u0633\u0639\u0629 48 \u062c\u064a\u062c\u0627\u0628\u0627\u064a\u062a<\/td><\/tr>\n
\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0625\u0635\u062f\u0627\u0631<\/td>2025<\/td>2024<\/td><\/tr>\n <\/tbody>\n <\/table>\n\n
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Key differences<\/h3>\n