一個驗證,對應所有 provider
一組 RunAPI key 即可解鎖整個 catalog。無需分開帳戶,亦無需為每個整合輪換密鑰。
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透過 RunAPI 使用 Gemini API,包含 model skill、統一驗證與按用量計費。
# Base URL
https://runapi.ai
# Endpoints
POST /v1/chat/completions
POST /v1/responses
POST /v1/messages
POST /v1beta/models/{model}:generateContent
POST /v1beta/models/{model}:streamGenerateContent
curl https://runapi.ai/v1/chat/completions \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.7-flash",
"messages": [
{
"role": "user",
"content": "Analyze this codebase and suggest three performance improvements with before/after examples."
}
]
}'
from openai import OpenAI
client = OpenAI(
base_url="https://runapi.ai/v1",
api_key="your-runapi-key"
)
response = client.chat.completions.create(
model="gemini-3.7-flash",
messages=[{"role": "user", "content": "Analyze this codebase and suggest three performance improvements with before/after examples."}]
)
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://runapi.ai/v1",
apiKey: "your-runapi-key"
});
const response = await client.chat.completions.create({
model: "gemini-3.7-flash",
messages: [{ role: "user", content: "Analyze this codebase and suggest three performance improvements with before/after examples." }]
});
Gemini is Google's multimodal large language model family supporting text, image, audio, and code understanding. Available in Flash and Pro variants, it handles tasks from quick summarization to deep reasoning and complex coding.
| Endpoint | Protocol |
|---|---|
POST /v1/chat/completions | OpenAI compatible |
POST /v1/responses | OpenAI Responses |
POST /v1/messages | Anthropic compatible |
POST /v1beta/models/{model}:generateContent | Gemini generateContent |
POST /v1beta/models/{model}:streamGenerateContent | Gemini streamGenerateContent |
| 變體 | 計費 | 定價 | |
|---|---|---|---|
| gemini-2.5-flash | 1K tokens | Input $0.30 / 1M tokens | Output $2.50 / 1M tokens | 查看 → |
| gemini-2.5-pro | 1K tokens | Input $1.25-$2.50 / 1M tokens | Output $10.00-$15.00 / 1M tokens | 查看 → |
| gemini-3-flash-preview | 1K tokens | Input $0.50 / 1M tokens | Output $3.00 / 1M tokens · Input $0.30 / 1M tokens | Output $1.80 / 1M tokens | 查看 → |
| gemini-3.1-pro-preview | 1K tokens | Input $1.00-$2.00 / 1M tokens | Output $7.00-$10.50 / 1M tokens | 查看 → |
| gemini-3.5-flash | 1K tokens | Input $1.50 / 1M tokens | Output $9.00 / 1M tokens · Input $0.90 / 1M tokens | Output $5.40 / 1M tokens | 查看 → |
| gemini-3.6-flash | 1K tokens | Input $1.50 / 1M tokens | Output $7.50 / 1M tokens · Input $0.90 / 1M tokens | Output $4.50 / 1M tokens | 查看 → |
| gemini-3.7-flash | 1K tokens | Input $0.45 / 1M tokens | Output $2.25 / 1M tokens | 查看 → |
| Endpoint | 解析度 | 時長 | 價格 | |
|---|---|---|---|---|
| chat_completion | — | — | Input $0.30 / 1M tokens | Output $2.50 / 1M tokens |
以下為 gemini-2.5-flash 的定價。其他變體保留各自的 endpoint 定價。
挑選符合輸出類型、品質門檻與延遲目標的模型與變體。
設定 RunAPI key,並在 coding workspace 安裝 model skill。
使用 skill 指引,在你的 app 內加入模型功能。
透過 task ID 查詢、在支援時串流,或處理 webhook callback。
一組 RunAPI key 即可解鎖整個 catalog。無需分開帳戶,亦無需為每個整合輪換密鑰。
按次以 USD 收費,每月結算。失敗的生成不會收費。
型別化 schema 與 setup 備註打包在 model skill 內,讓實作從正確契約開始。
Up to 1 million tokens across all variants. This handles entire codebases, long documents, and multi-turn conversations without truncation.
Text, images, audio, and video. You can pass multimodal inputs in a single request for cross-modal reasoning.
Gemini can ground responses in real-time Google Search results, reducing hallucination for factual and time-sensitive queries.
Flash is optimized for speed and cost — ideal for high-volume tasks. Pro delivers deeper reasoning and is better for complex multi-step analysis.
Yes — Gemini supports structured function calling with typed JSON schemas, making it suitable for agentic workflows and tool use.
先選最平而且符合你質素要求的版本。大多數團隊會先用快速版本,之後再升級到 pro 用於正式生產。