
Gemini 3.8 Flash (Google Vertex) - Flash MOI NHAT dong Gemini 3.x (GA 2/9/2026), thay 3.7 lam ngua tho agentic chinh. Google mo ta la "most intelligent workhorse model yet": tien bo ro o software engineering, tac vu agentic va suy luan nhieu buoc trong linh vuc chuyen sau. LUU Y: 3.8 tieu NHIEU token hon 3.7 de dat hieu nang (nhat la o effort cao) ma token reasoning tinh vao gia OUTPUT - don gia y het 3.7 nhung hoa don co the cao hon; uu tien chi phi/toc do thi dung 3.7. Context 1 trieu token (1.048.576 vao / 65.536 ra). INPUT TOI DA: anh <=3.000/prompt (<=7MB/file inline, <=30MB tu Cloud Storage; png/jpeg/webp/heic/heif) + video <=10/prompt (~45 phut neu CO audio, ~1 gio neu KHONG audio) + audio CHI 1 file/prompt (~8,4 gio hoac toi 1 trieu token) + tai lieu <=3.000 file, <=3.000 trang/file (<=50MB pdf / <=7MB txt). Thinking level LOW/MEDIUM (mac dinh)/HIGH - MINIMAL KHONG duoc ho tro. Grounding Google Search/Maps, code execution, function calling, structured output, URL context, computer use (preview), agentic video understanding (preview). TEXT-only output.
Pricing theo tokenInput 45 credits / 1M (≈ $0.23)Output 225 credits / 1M (≈ $1.13)월 1M 토큰 무료
Used to describe the generated output.
Image for reference
Audio for reference
Video for reference
Do sau suy luan. 3.8 Flash chi nhan LOW/MEDIUM/HIGH (mac dinh MEDIUM) - MINIMAL se bao loi. Do that 5 lan/muc (13/9/2026): MEDIUM va HIGH gan nhu luon tra tom tat suy luan (5/5), LOW hau nhu khong (1/5). Muc cang cao cang ton token reasoning, ma reasoning tinh gia OUTPUT.
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README
Gemini 3.8 Flash (Google Vertex) - Flash MOI NHAT dong Gemini 3.x (GA 2/9/2026), thay 3.7 lam ngua tho agentic chinh. Google mo ta la "most intelligent workhorse model yet": tien bo ro o software engineering, tac vu agentic va suy luan nhieu buoc trong linh vuc chuyen sau. LUU Y: 3.8 tieu NHIEU token hon 3.7 de dat hieu nang (nhat la o effort cao) ma token reasoning tinh vao gia OUTPUT - don gia y het 3.7 nhung hoa don co the cao hon; uu tien chi phi/toc do thi dung 3.7. Context 1 trieu token (1.048.576 vao / 65.536 ra). INPUT TOI DA: anh <=3.000/prompt (<=7MB/file inline, <=30MB tu Cloud Storage; png/jpeg/webp/heic/heif) + video <=10/prompt (~45 phut neu CO audio, ~1 gio neu KHONG audio) + audio CHI 1 file/prompt (~8,4 gio hoac toi 1 trieu token) + tai lieu <=3.000 file, <=3.000 trang/file (<=50MB pdf / <=7MB txt). Thinking level LOW/MEDIUM (mac dinh)/HIGH - MINIMAL KHONG duoc ho tro. Grounding Google Search/Maps, code execution, function calling, structured output, URL context, computer use (preview), agentic video understanding (preview). TEXT-only output.
토큰 기준 과금: 입력 100만 토큰당 45 크레딧 (약 $0.23), 출력 100만 토큰당 225 크레딧 (약 $1.13)이며, 각 호출의 실제 사용량만큼 차감됩니다. 크레딧은 만료되지 않으며 결제 페이지에서 충전하세요.
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