バリアント · Google / Gemini

Gemini gemini-3-pro-preview 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
概要

Gemini gemini-3-pro-preview is available through the same RunAPI auth, SDKs, and agent skill workflow.

  • Unified endpoint
  • SDK snippets
  • Agent install path
  • 失敗した生成は課金されません
料金

料金

失敗した生成は課金されません
Chat completion
Input $1.00 / 1M tokens
Output $6.00 / 1M tokens
仕様

仕様

Model ID gemini-3-pro-preview
プロバイダー Google
モダリティ text
Task type synchronous
課金 1K tokens
Endpoint /v1/chat/completions
Commercial Yes
Status Operational
クイックスタート

Quickstart — gemini-3-pro-preview

runapi.ai
curl -X POST https://runapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gemini-3-pro-preview",
  "messages": [
    {
      "role": "user",
      "content": "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.chatCompletion.run({
    model: "gemini-3-pro-preview",
    messages: [{"role":"user","content":"Analyze this codebase and suggest three performance improvements with before/after examples."}],
});
require "runapi/gemini"

client = RunApi::Gemini::Client.new
result = client.chat_completion.run(
    model: "gemini-3-pro-preview",
    messages: [{role: "user", content: "Analyze this codebase and suggest three performance improvements with before/after examples."}]
)
@runapi.ai/gemini v1
仕組み

How to use gemini-3-pro-preview

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.

違い

How gemini-3-pro-preview compares

VS GEMINI-2.5-FLASH

gemini-3-pro-preview

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

VS GEMINI-2.5-PRO

gemini-3-pro-preview

Best reasoning in 2.5 gen; 1M context

VS GEMINI-3-FLASH-PREVIEW

gemini-3-pro-preview

gemini-3-flash-preview

ユースケース

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-pro-preview

How do I select gemini-3-pro-preview?

Pass the model ID shown in the quickstart.

Is pricing usage-based?

Yes. Pricing is metered per call or unit.

今すぐ開始

Start with Gemini today.