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Google Gemini 3.8 Flash: Modelos de lenguaje grandes con IA

Generate text y analyze imagens con Google Gemini 3.8 Flash. Fast, low-costo multimodal chat y reasoning. Pruébalo gratis — pay per generación. Gemini 3.8 Flash is Google's latest high-speed multimodal language model, built fo real-time chat, coding, y agentic workloads. It accepts text y imagen entradas in a una sola solicitud, supports a configurable system prompt, y offers adjustable reasoning depth fo balancing latency against thoroughness. Its large context window y low latency make it a strong fit fo production chat assistants, document summarization, y coding copilots that need rápido, cheap responses at scale. Para heavier reasoning workloads that need a larger context o deeper multi-step logic, see Gemini 3.1 Pro o Gemini 3 Pro.

Controles interactivos del modelo

Generate text y analyze imagens con Google Gemini 3.8 Flash. Fast, low-costo multimodal chat y reasoning. Pruébalo gratis — pay per generación.

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Descripción general

Acerca de este modelo

Gemini 3.8 Flash is Google's latest high-speed multimodal language model, built fo real-time chat, coding, y agentic workloads. It accepts text y imagen entradas in a una sola solicitud, supports a configurable system prompt, y offers adjustable reasoning depth fo balancing latency against thoroughness. Its large context window y low latency make it a strong fit fo production chat assistants, document summarization, y coding copilots that need rápido, cheap responses at scale. Para heavier reasoning workloads that need a larger context o deeper multi-step logic, see Gemini 3.1 Pro o Gemini 3 Pro.

1Conversational Assistants: Power rápido, baja latencia multi-turn chat experiences fo support bots y in-app assistants.
2Document Summarization: Condense long text o scanned/photographed documents (via imagen_url) en concise summaries.
3Coding Copilots: Generate y explain code snippets, debug erro messages, y answer technical questions quickly.
4Content Moderation & Classification: Tag, screen, o route incoming text y imagens at high volume y low per-call costo.
5Visual Q&A: Answer natural-language questions about an uploaded imagen sin needing a separate vision pipeline.
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Precios y tarifas

Análisis de costes

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

Facturación basada en tokens. Mínimo $0.0002 por llamada.

Fal.aiNo disponible

No hay un endpoint dedicado para Gemini 3.8 Flash actualmente.

ReplicateNo disponible

No hay un endpoint dedicado para Gemini 3.8 Flash actualmente.

** Los precios de competidores son estimaciones basadas en arquitecturas de modelos y niveles de uso similares.

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Especificaciones técnicas

Esquema de configuración

Promptstring

.

Valor por defectoSummarize the key points of the attached image.
URL de imagenstring

entradaimagen URL.

Valor por defectoundefined
Prompt del sistemastring

, .

Valor por defectoYou are a helpful assistant that responds concisely.
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Guía de integración

Documentación para desarrolladores

Estándar (asíncrono)

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

Transmisión (SSE)

POST /api/v1/gemini-3-8-flash/stream — returns a live Server-Sent Events stream (Content-Type: text/event-stream) con incremental text chunks as the model generates its response.

Ejemplo cURL

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."
  }'
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Preguntas frecuentes

Preguntas frecuentes

¿Qué es Gemini 3.8 Flash?

Gemini 3.8 Flash is Google's rápido, rentable multimodal language model fo text y comprensión de imágenes, tuned fo real-time chat, summarization, y coding assistance.

How is pricing calculated fo Gemini 3.8 Flash?

Pricing is token-based at $2.50 por millón entrada tokens y $12.50 por millón resultado tokens, con a minimum charge of $0.0002 po llamada.

¿Gemini 3.8 Flash support imagen entradas?

Sí. Pass an imagen_url alongside your prompt to ask questions about, summarize, o describe an imagen in the same request.

¿I set a system prompt?

Yes, use the system_prompt field to steer the model's tone, persona, o response format a lo largo de the conversation.

How do I choose between the async y streaming endpoints?

Usa the streaming endpoint (/gemini-3-8-flash/stream) fo interactive chat U¿where the user should see the response appear token-by-token. Usa the async endpoint (/gemini-3-8-flash) fo background jobs, batch processing, y workflow automation.

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

Both are rápido multimodal chat models in the same family; Gemini 3.8 Flash is Google's newer release con improved reasoning y response quality at the same entrada/resultado field structure, so existing integrations built fo 3.7 Flash migrate over con no code changes beyond the endpoint name.