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Google

Gemini 2.5 Pro

google/gemini-2.5-pro

Google's state-of-the-art model for advanced reasoning, coding, mathematics, and scientific tasks, with built-in thinking for greater accuracy. Note: prompts longer than 200K tokens are billed by Google at double the listed rate.

Pricing

Input$1.25per 1M tokens
Output$10.00per 1M tokens
Cached input$0.125per 1M tokens read from cache

Specifications

Context window1Mtokens
Max output66Ktokens
ProviderGoogle
CapabilitiesVision · Reasoning · Function calling
Input typestext, image

Use Gemini 2.5 Pro

Point your existing OpenAI SDK at xKiro and pass google/gemini-2.5-pro as the model. Nothing else in your code changes.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.xkiro.com/v1",
    api_key="YOUR_XKIRO_KEY",
)

response = client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · reasoning · include_reasoning

Related models

Call Gemini 2.5 Pro through the same endpoints you already use.

Get an API key