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. Gemini 3.8 Flash is a high-speed, multimodal language model built for real-time text generation, supporting text and image inputs natively, extended reasoning, and tool use. Token-based pricing: $2.50/M input tokens and $12.50/M output tokens. Two endpoints: standard async (/gemini-3-8-flash) and live streaming (/gemini-3-8-flash/stream) via SSE.

Interactive model controls

Gemini 3.8 Flash is a high-speed, multimodal language model built for real-time text generation, supporting text and image inputs natively, extended reasoning, and tool use. Token-based pricing: $2.50/M input tokens and $12.50/M output tokens. Two endpoints: standard async (/gemini-3-8-flash) and live streaming (/gemini-3-8-flash/stream) via SSE.

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Overview

About this model

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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Pricing & Value

Cost analysis

Provider	Cost	Notes
muapiapp	$2.50/M input, $12.50/M output	Token-based billing. Minimum $0.0002 per call.
Fal.ai	Not available	No dedicated Gemini 3.8 Flash endpoint at this time.
Replicate	Not available	No dedicated Gemini 3.8 Flash endpoint at this time.

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

Token-based billing. Minimum $0.0002 per call.

Fal.aiNot available

No dedicated Gemini 3.8 Flash endpoint at this time.

ReplicateNot available

No dedicated Gemini 3.8 Flash endpoint at this time.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Parameter	Type	Description	Default
Prompt	string	The user message or instruction for the model.	`Summarize the key points of the attached image.`
Image URL	string	Optional image URL to include as multimodal input.	`undefined`
System Prompt	string	Optional system-level instruction to guide model behavior.	`You are a helpful assistant that responds concisely.`

Promptstring

The user message or instruction for the model.

Default ValueSummarize the key points of the attached image.

Image URLstring

Optional image URL to include as multimodal input.

Default Valueundefined

System Promptstring

Optional system-level instruction to guide model behavior.

Default ValueYou are a helpful assistant that responds concisely.

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Implementation Guide

Developer documentation

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."
  }'

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Common Questions

Frequently asked

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.