Un’unica autenticazione, tutti i provider
Una sola chiave RunAPI sblocca l’intero catalogo. Niente account separati, niente rotazione delle chiavi per integrazione.
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Usa l'API Gemini tramite RunAPI con model skill, autenticazione unificata e prezzi pay-as-you-go.
# 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 |
| Variante | Fatturazione | Prezzo | |
|---|---|---|---|
| gemini-2.5-flash | 1K tokens | Input $0.30 / 1M tokens | Output $2.50 / 1M tokens | Visualizza → |
| gemini-2.5-pro | 1K tokens | Input $1.25-$2.50 / 1M tokens | Output $10.00-$15.00 / 1M tokens | Visualizza → |
| 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 | Visualizza → |
| gemini-3.1-pro-preview | 1K tokens | Input $1.00-$2.00 / 1M tokens | Output $7.00-$10.50 / 1M tokens | Visualizza → |
| 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 | Visualizza → |
| 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 | Visualizza → |
| gemini-3.7-flash | 1K tokens | Input $0.45 / 1M tokens | Output $2.25 / 1M tokens | Visualizza → |
| Endpoint | Risoluzione | Durata | Prezzo | |
|---|---|---|---|---|
| chat_completion | — | — | Input $0.30 / 1M tokens | Output $2.50 / 1M tokens |
Prezzi mostrati per gemini-2.5-flash. Le altre varianti mantengono i propri prezzi per endpoint.
Seleziona modello e variante adatti al tipo di output, al livello qualità e alla latenza target.
Imposta la tua chiave RunAPI e installa il model skill nel workspace di codice.
Usa le istruzioni dello skill per aggiungere la feature modello dentro la tua applicazione.
Interroga per task ID, usa streaming dove supportato o gestisci il callback webhook.
Gemini is Google's flagship multimodal LLM, available in Flash (fast) and Pro (frontier reasoning) variants. Through RunAPI, all Gemini models share the same API shape and billing.
Una sola chiave RunAPI sblocca l’intero catalogo. Niente account separati, niente rotazione delle chiavi per integrazione.
Prezzi per chiamata in USD, fatturati mensilmente. Le generazioni fallite non vengono addebitate.
Schema tipizzati e note di setup sono inclusi nel model skill, così l'implementazione parte dal contratto corretto.
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.
Scegli la variante più economica che soddisfa il tuo livello di qualità. La maggior parte dei team inizia con la variante veloce e passa alla pro per la produzione.