Generate text and analyze images with Google Gemini 3.8 Flash. Fast, low-cost multimodal chat and reasoning. Try free — pay per generation.
이 모델 정보
Gemini 3.8 Flash is Google's latest high-speed multimodal language model, built for real-time chat, coding, and agentic workloads. It accepts text and image inputs in a single request, supports a configurable system prompt, and offers adjustable reasoning depth for balancing latency against thoroughness. Its large context window and low latency make it a strong fit for production chat assistants, document summarization, and coding copilots that need fast, cheap responses at scale. For heavier reasoning workloads that need a larger context or deeper multi-step logic, see Gemini 3.1 Pro or Gemini 3 Pro.
비용 분석
| 공급자 | 비용 | 메모 |
|---|---|---|
| muapiapp | $2.50/M input, $12.50/M output | 토큰 기반 청구. 통화당 최소 $0.0002. |
| Fal.ai | 제공되지 않음 | No dedicated Gemini 3.8 Flash endpoint at this time. |
| Replicate | 제공되지 않음 | No dedicated Gemini 3.8 Flash endpoint at this time. |
토큰 기반 청구. 통화당 최소 $0.0002.
No dedicated Gemini 3.8 Flash endpoint at this time.
No dedicated Gemini 3.8 Flash endpoint at this time.
** 경쟁업체 가격은 유사한 모델 아키텍처 및 사용 계층을 기준으로 추정됩니다.
구성 스키마
| 매개변수 | 유형 | 설명 | 기본값 |
|---|---|---|---|
| 프롬프트 | string | . | Summarize the key points of the attached image. |
| 이미지 URL | string | 항목이미지URL. | undefined |
| 시스템 프롬프트 | string | , . | You are a helpful assistant that responds concisely. |
.
Summarize the key points of the attached image.항목이미지URL.
undefined, .
You are a helpful assistant that responds concisely.개발자 문서
POST /api/v1/gemini-3-8-flash — returns a request_id; poll for the result via /api/v1/predictions/{id}/result.
POST /api/v1/gemini-3-8-flash/stream — returns a live Server-Sent Events stream (Content-Type: text/event-stream) with incremental text chunks as the model generates its response.
curl -X POST "https://api.muapi.ai/api/v1/gemini-3-8-flash" \
-H "Authorization: Bearer $YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Summarize the key differences between REST and GraphQL APIs.",
"system_prompt": "You are a concise technical writer."
}'
자주 묻는 질문
Gemini 3.8 Flash is Google's fast, cost-efficient multimodal language model for text and image understanding, tuned for real-time chat, summarization, and coding assistance.
Pricing is token-based at $2.50 per million input tokens and $12.50 per million output tokens, with a minimum charge of $0.0002 per call.
Yes. Pass an image_url alongside your prompt to ask questions about, summarize, or describe an image in the same request.
Yes, use the system_prompt field to steer the model's tone, persona, or response format across the conversation.
Use the streaming endpoint (/gemini-3-8-flash/stream) for interactive chat UIs where the user should see the response appear token-by-token. Use the async endpoint (/gemini-3-8-flash) for background jobs, batch processing, and workflow automation.
Both are fast multimodal chat models in the same family; Gemini 3.8 Flash is Google's newer release with improved reasoning and response quality at the same input/output field structure, so existing integrations built for 3.7 Flash migrate over with no code changes beyond the endpoint name.