gemini-embedding-001
Google's gemini-embedding-001 - compact and efficient with extremely cost-effective pricing. Google's advanced AI research.
Capability Radar
About gemini-embedding-001
"Cutting-edge multimodal capabilities"
gemini-embedding-001 is Google's extremely cost-effective model featuring focused context window (32K). Cutting-edge multimodal capabilities, this model delivers industry-leading context windows.
⚡ Key Strengths
- Cutting-edge multimodal capabilities
- Exceptional cost-effectiveness for high-volume use
- Fast inference with efficient resource usage
- OpenAI SDK compatible
- Production-ready reliability
🎯 Best Use Cases
- High-volume API processing
- Cost-sensitive production applications
- Data analysis and extraction
- API integration and automation
- Business intelligence and insights
Technical Specifications
Quick Start Guide
import OpenAI from "openai";
const openai = new OpenAI({
baseURL: "https://api.okrouter.com/v1",
apiKey: "<YOUR_OKROUTER_KEY>",
});
async function main() {
const completion = await openai.chat.completions.create({
model: "gemini-embedding-001",
messages: [
{ role: "user", content: "Hello! What can you do?" }
],
});
console.log(completion.choices[0].message);
}
main();Getting started with gemini-embedding-001 is easy. Since OkRouter is fully compatible with the OpenAI SDK, you can use existing libraries to access this model immediately. gemini-embedding-001 is fully compatible with the OpenAI Chat Completions API. distinctive features include Standard context handling and Embedding support.
Interactive Playground
Parameters Setup
Controls randomness: Lowering results in less random completions.
Return data chunks as they arrive
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.okrouter.com/v1",
apiKey: process.env.OKROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "gemini-embedding-001",
messages: [{ role: "user", content: "Hello world!" }],
temperature: 0.7,
stream: true,
});Frequently Asked Questions
?How much does gemini-embedding-001 cost?
gemini-embedding-001 costs $0.12 per 1M input tokens and $0.12 per 1M output tokens via OkRouter. This is 20% cheaper than OpenRouter with the same great performance.
?Is gemini-embedding-001 compatible with OpenAI SDK?
Yes! gemini-embedding-001 works seamlessly with all OpenAI SDKs (Python, JavaScript, Go, etc.). Simply change your base_url to api.okrouter.com and use your OkRouter API key. No code changes needed.
?What is gemini-embedding-001 best used for?
gemini-embedding-001 excels at high-volume api processing, cost-sensitive production applications, data analysis and extraction. It's extremely cost-effective and perfect for high-volume production workloads.