변형 · Google / Gemini

Gemini gemini-3.5-flash API

A model variant exposed through RunAPI's unified AI API.

Operational · text · Commercial use supported
# Works with Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents
npx skills add runapi-ai/gemini -g
The -g flag installs globally so every project picks it up.
Or paste this prompt to your AI agent:
Install the Gemini skill for me:

1. Clone https://github.com/runapi-ai/gemini
2. Copy the skills/gemini/ directory into your
   user-level skills directory (e.g. ~/.claude/skills/
   for Claude Code, ~/.codex/skills/ for Codex).
3. Verify that SKILL.md is present.
4. Confirm the install path when done.
Switch variant
개요

Gemini gemini-3.5-flash is available through the same RunAPI auth, SDKs, and agent skill workflow.

  • Unified endpoint
  • SDK snippets
  • Agent install path
  • 실패한 생성은 과금되지 않습니다
요금

요금

실패한 생성은 과금되지 않습니다
Generate content stream
Input $0.75 / 1M tokens
Output $4.50 / 1M tokens
스펙

스펙

Model ID gemini-3.5-flash
제공사 Google
모달리티 text
Task type synchronous
과금 1K tokens
Endpoint /v1beta/models/gemini-3.5-flash:streamGenerateContent
Commercial Yes
Status Operational
빠른 시작

Quickstart — gemini-3.5-flash

runapi.ai
curl -X POST https://runapi.ai/v1beta/models/gemini-3.5-flash:streamGenerateContent \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gemini-3.5-flash",
  "contents": [
    {
      "parts": [
        {
          "text": "Analyze this codebase and suggest three performance improvements with before/after examples."
        }
      ]
    }
  ]
}'
import { GeminiClient } from "@runapi.ai/gemini";

const client = new GeminiClient();
const result = await client.streamGenerateContent.run({
    model: "gemini-3.5-flash",
    contents: [{"parts":[{"text":"Analyze this codebase and suggest three performance improvements with before/after examples."}]}],
});
require "runapi/gemini"

client = RunApi::Gemini::Client.new
result = client.stream_generate_content.run(
    model: "gemini-3.5-flash",
    contents: [{parts: [{text: "Analyze this codebase and suggest three performance improvements with before/after examples."}]}]
)
@runapi.ai/gemini v1
작동 방식

How to use gemini-3.5-flash

01

Choose endpoint

Pick the endpoint and copy the SDK snippet.

02

Pass model ID

Use this variant ID in the request body.

03

Run task

Submit the request and store the returned task ID.

04

Collect output

Poll or receive the callback when the task finishes.

차이

How gemini-3.5-flash compares

VS GEMINI-2.5-FLASH

Fast multimodal streaming for high-volume production workloads

Speed/cost optimized; 1M context; older generation baseline

VS GEMINI-2.5-PRO

Fast multimodal streaming for high-volume production workloads

Best reasoning in 2.5 gen; 1M context

VS GEMINI-3-FLASH-PREVIEW

Fast multimodal streaming for high-volume production workloads

gemini-3-flash-preview

사용 사례

Where to use this variant

Chat

Use LLMs for chat and reasoning.

Code

Generate and review implementation work.

Automation

Connect models into backend tasks.

FAQ

Frequently asked questions about gemini-3.5-flash

How do I select gemini-3.5-flash?

Pass the model ID shown in the quickstart.

Is pricing usage-based?

Yes. Pricing is metered per call or unit.

지금 시작

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