Google Gemini 3.8 Flash: AI大規模言語モデル
Generate text and analyze images with Google Gemini 3.8 Flash. Fast, low-cost multimodal chat and reasoning. Try free — pay per generation.
Generate text and analyze images with Google Gemini 3.8 Flash. Fast, low-cost multimodal chat and reasoning. Try free — pay per generation.
このモデルについて
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.
コスト分析
| プロバイダー | 費用 | 備考 |
|---|---|---|
| muapiapp | $2.50/M 入力, $12.50/M 出力 | Token-based billing. Minimum $0.0002 per call. |
| Fal.ai | 利用不可 | No dedicated Gemini 3.8 Flash endpoint at this time. |
| Replicate | 利用不可 | No dedicated Gemini 3.8 Flash endpoint at this time. |
Token-based billing. Minimum $0.0002 per call.
No dedicated Gemini 3.8 Flash endpoint at this time.
No dedicated Gemini 3.8 Flash endpoint at this time.
** 競合サービスの料金は類似のモデル構成および利用ティアに基づいて算出された推定値です。
設定スキーマ
| パラメータ | 型 | 説明 | デフォルト |
|---|---|---|---|
| プロンプト | string | 生成プロセスを適切に制御するためのパラメータ設定（The user message or instruction for the model.）。 | Summarize the key points of the attached image. |
| 画像 URL | string | 処理の開始点となる入力元画像のURLまたはBase64データ。 | undefined |
| System プロンプト | string | 生成プロセスを適切に制御するためのパラメータ設定（Optional system-level instruction to guide model b）。 | You are a helpful assistant that responds concisely. |
生成プロセスを適切に制御するためのパラメータ設定（The user message or instruction for the model.）。
Summarize the key points of the attached image.処理の開始点となる入力元画像のURLまたはBase64データ。
undefined生成プロセスを適切に制御するためのパラメータ設定（Optional system-level instruction to guide model b）。
You are a helpful assistant that responds concisely.開発者ドキュメント
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."
}'
FAQ
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.