AI Rate Card

Gemini 2.5 Pro Preview 06-05 · aihubmix

Google’s latest multimodal flagship model, combining exceptional coding and reasoning capabilities. Its massive 1 million token context window (soon to expand to 2 million) places it at the top of the WebDevArena and LMArena leaderboards. It is particularly well-suited for developing aesthetically pleasing and highly functional interactive web applications, code transformation, and complex workflows. The newly introduced "reasoning budget" feature cleverly balances cost and performance, while optimized tool calls and response styles further enhance development efficiency, making it the ideal choice for rapid prototyping and advanced coding.

Base modelAll models on this baseAll models of the providerto the provider

Input, $/1M $1.25

Output, $/1M $10.00

Cache read $0.12

Cache write —

Context 1 048 576

Max output 65 536

Accepts audio, images, text, video

Last checked 04.11.2026 12:00:14 UTC

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API

OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.

API base URL
https://aihubmix.com/api/v1
Endpoint
https://aihubmix.com/api/v1/chat/completions
Model id
gemini-2.5-pro-preview-06-05
curl
curl https://aihubmix.com/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gemini-2.5-pro-preview-06-05", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'
Python
import requests

r = requests.post(
    "https://aihubmix.com/api/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "gemini-2.5-pro-preview-06-05",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())
JavaScript
const r = await fetch("https://aihubmix.com/api/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "gemini-2.5-pro-preview-06-05",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());
Request (JSON)
{
  "model": "gemini-2.5-pro-preview-06-05",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Response (JSON)
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "gemini-2.5-pro-preview-06-05",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

The address is taken from the provider's model list; check it against the provider's documentation.

Provider's API documentation

Source: AI Rate Card, https://airatecard.com/en/c/offer%3Aaihubmix%7Cgemini-2.5-pro-preview-06-05, prices checked 2026-11-04; seller's page: https://aihubmix.com

Technical details

ID: offer:aihubmix|gemini-2.5-pro-preview-06-05