VARIANTE · 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

gemini-2.5-flash gemini-2.5-pro gemini-3-flash-preview gemini-3.1-pro-preview gemini-3.5-flash

APERÇU

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

Unified endpoint
SDK snippets
Agent install path
Les générations échouées ne sont pas facturées

TARIFS

Les générations échouées ne sont pas facturées

Chat completion

Input $1.00 / 1M tokens

Output $6.00 / 1M tokens

FICHE TECHNIQUE

Model ID	gemini-3-pro-preview
Fournisseur	Google
Modalité	text
Task type	synchronous
Facturation	1K tokens
Endpoint	/v1/chat/completions
Commercial	Yes
Status	Operational

DÉMARRAGE RAPIDE

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

FONCTIONNEMENT