Gemini 2.5 Pro on NEAR AI Cloud

Input / M tokens

$1.25

Output / M tokens

$10

Cache read

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Context

1000K

Sample code and API for Gemini 2.5 Pro

fetch("https://cloud-api.near.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR-NEAR-AI-CLOUD-API-KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/gemini-2.5-pro",
    "messages": [
      {
        "role": "user",
        "content": "What is the meaning of life?"
      }
    ]
  })
})

You can also use NEAR AI Cloud with OpenAI's client API:

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://cloud-api.near.ai/v1",
  apiKey: "<YOUR-NEAR-AI-CLOUD-API-KEY>",
})

async function main() {
  const completion = await openai.chat.completions.create({
    messages: [{ "role": "user", "content": "What is the meaning of life?" }],
    model: "google/gemini-2.5-pro",
  })

  console.log(completion.choices[0])
}
main()

Privacy & Execution

This is an Incognito model: it runs on a partner provider rather than inside a NEAR AI GPU TEE. Requests are routed through a shared NEAR AI API key, so your identity is not disclosed to the provider.

Your prompt content, however, is transmitted to and processed by Google in accordance with their terms of service and privacy policy. Data is encrypted in transit, but execution happens outside of trusted hardware — there is no hardware-level privacy, attestation, or cryptographic proof of execution for this model.