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gemini-2.5-pro-preview-06-05

32k ContextTextPopular

Google's gemini-2.5-pro-preview-06-05 - compact and efficient with budget-friendly pricing. Google's advanced AI research.

Pricing / 1M
USD
Input$1
Output$8
Context Window
32ktokens
Avg Latency
450ms

Capability Radar

Compare with Claude 3

About gemini-2.5-pro-preview-06-05

"Cutting-edge multimodal capabilities"

gemini-2.5-pro-preview-06-05 is Google's budget-friendly model featuring focused context window (32K). Cutting-edge multimodal capabilities, this model delivers industry-leading context windows.

Key Strengths

  • Cutting-edge multimodal capabilities
  • Best price-to-performance ratio
  • Fast inference with efficient resource usage
  • Advanced reasoning and problem-solving
  • OpenAI SDK compatible

🎯 Best Use Cases

  • Real-time chatbots and customer support
  • High-volume content moderation
  • Quick classification and tagging
  • High-volume API processing
  • Cost-sensitive production applications

Technical Specifications

Context Window
32K
Max Output
4,096 tokens
Knowledge Domain
Chat, Text
Provider
Google

Quick Start Guide

example.tsTypeScript
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-2.5-pro-preview-06-05",
    messages: [
      { role: "user", content: "Hello! What can you do?" }
    ],
  });

  console.log(completion.choices[0].message);
}

main();

Getting started with gemini-2.5-pro-preview-06-05 is easy. Since OkRouter is fully compatible with the OpenAI SDK, you can use existing libraries to access this model immediately. gemini-2.5-pro-preview-06-05 is fully compatible with the OpenAI Chat Completions API. distinctive features include Standard context handling and Text support.

Interactive Playground

Parameters Setup

0.7

Controls randomness: Lowering results in less random completions.

Return data chunks as they arrive

request.js
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-2.5-pro-preview-06-05",
  messages: [{ role: "user", content: "Hello world!" }],
  temperature: 0.7,
  stream: true,
});

Frequently Asked Questions

?How much does gemini-2.5-pro-preview-06-05 cost?

gemini-2.5-pro-preview-06-05 costs $1.00 per 1M input tokens and $8.00 per 1M output tokens via OkRouter. This is 20% cheaper than OpenRouter with the same great performance.

?Is gemini-2.5-pro-preview-06-05 compatible with OpenAI SDK?

Yes! gemini-2.5-pro-preview-06-05 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-2.5-pro-preview-06-05 best used for?

gemini-2.5-pro-preview-06-05 excels at real-time chatbots and customer support, high-volume content moderation, quick classification and tagging. It's budget-friendly and perfect for high-volume production workloads.