Google Gemini 3.8 Flash: AI Large Language Models

Generate text and analyze images with Google Gemini 3.8 Flash. Fast, low-cost multimodal chat and reasoning. Try free — pay per generation.

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Обзор

Об этой модели

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.

1Conversational Assistants: Power fast, low-latency multi-turn chat experiences for support bots and in-app assistants.
2Document Summarization: Condense long text or scanned/photographed documents (via image_url) into concise summaries.
3Coding Copilots: Generate and explain code snippets, debug error messages, and answer technical questions quickly.
4Content Moderation & Classification: Tag, screen, or route incoming text and images at high volume and low per-call cost.
5Visual Q&A: Answer natural-language questions about an uploaded image without needing a separate vision pipeline.
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Цены и стоимость

Анализ затрат

muapiapp$2.50/M input, $12.50/M output

Биллинг на основе токенов. Минимум 0,0002 доллара США за звонок.

Fal.aiНедоступно

No dedicated Gemini 3.8 Flash endpoint at this time.

ReplicateНедоступно

No dedicated Gemini 3.8 Flash endpoint at this time.

** Цены конкурентов рассчитаны на основе аналогичных архитектур моделей и уровней использования.

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Технические детали

Схема конфигурации

подсказатьstring

.

Значение по умолчаниюSummarize the key points of the attached image.
URL-адрес изображенияstring

URL-адрес изображения.

Значение по умолчаниюundefined
Системная подсказкаstring

, .

Значение по умолчаниюYou are a helpful assistant that responds concisely.
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Руководство по внедрению

Документация разработчика

Standard (Async)

POST /api/v1/gemini-3-8-flash — returns a request_id; poll for the result via /api/v1/predictions/{id}/result.

Streaming (SSE)

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 Example

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."
  }'

Общие вопросы

Часто задаваемые

What is Gemini 3.8 Flash?

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.

How is pricing calculated for Gemini 3.8 Flash?

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.

Does Gemini 3.8 Flash support image inputs?

Yes. Pass an image_url alongside your prompt to ask questions about, summarize, or describe an image in the same request.

Can I set a system prompt?

Yes, use the system_prompt field to steer the model's tone, persona, or response format across the conversation.

How do I choose between the async and streaming endpoints?

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.

What's the difference between Gemini 3.8 Flash and Gemini 3.7 Flash?

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.