All models
Google

Gemini 2.5 Flash

google/gemini-2.5-flash

Google's previous-generation Flash model for high-volume, low-latency multimodal tasks.

Pricing

Input$0.3per 1M tokens
Output$2.50per 1M tokens
Cached input$0.03per 1M tokens read from cache

Specifications

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

Use Gemini 2.5 Flash

Point your existing OpenAI SDK at xKiro and pass google/gemini-2.5-flash 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-flash",
    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 Flash through the same endpoints you already use.

Get an API key