Google's flagship text generation model. Designed to handle natural language tasks, multiturn text and code chat, and code generation.
See the benchmarks and prompting guidelines from Deepmind.
Usage of Gemini is subject to Google's Gemini Terms of Use.
To get started, you can use Gemini Pro 1.0 via API like this:
fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
"Authorization": `Bearer ${OPENROUTER_API_KEY}`,
"HTTP-Referer": `${YOUR_SITE_URL}`, // Optional, for including your app on openrouter.ai rankings.
"X-Title": `${YOUR_SITE_NAME}`, // Optional. Shows in rankings on openrouter.ai.
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "google/gemini-pro",
"messages": [
{"role": "user", "content": "What is the meaning of life?"},
],
})
});You can also use OpenRouter with OpenAI's client API:
import OpenAI from "openai"
const openai = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: $OPENROUTER_API_KEY,
defaultHeaders: {
"HTTP-Referer": $YOUR_SITE_URL, // Optional, for including your app on openrouter.ai rankings.
"X-Title": $YOUR_SITE_NAME, // Optional. Shows in rankings on openrouter.ai.
}
})
async function main() {
const completion = await openai.chat.completions.create({
model: "google/gemini-pro",
messages: [
{ role: "user", content: "Say this is a test" }
],
})
console.log(completion.choices[0].message)
}
main()See the Request docs for all possible parameters, and Parameters for recommended values.