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Gemini 2.5 Pro Preview 05 06

google/gemini-2.5-pro-preview-05-06
Chat
Google|
Function CallingVisionReasoningWeb Search

Gemini 2.5 Pro Preview 05 06 (google/gemini-2.5-pro-preview-05-06) is an AI model from Google with a 1,048,576-token context window and 65,535 max output tokens, priced at $1.25/1M input and $10.00/1M output tokens. Available via the haimaker.ai OpenAI-compatible API.

Context Window
1M
tokens
Max Output
66K
tokens
Input Price
$1.25
/1M tokens
Output Price
$10.00
/1M tokens

Overview

Google's Gemini 2.5 Pro, a frontier model with state-of-the-art reasoning, coding, and long-context understanding.

Features & Capabilities

Modechat
Context Window1,048,576 tokens
Max Output65,535 tokens
Function CallingSupported
VisionSupported
ReasoningSupported
Web SearchSupported
Url Context-

API Usage

from openai import OpenAI

client = OpenAI(
    base_url="https://api.haimaker.ai/v1",
    api_key="YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="google/gemini-2.5-pro-preview-05-06",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ],
)

print(response.choices[0].message.content)

Frequently Asked Questions

What is the context window of Gemini 2.5 Pro Preview 05 06?

Gemini 2.5 Pro Preview 05 06 (google/gemini-2.5-pro-preview-05-06) has a 1,048,576-token context window and supports up to 65,535 output tokens per request.

How much does Gemini 2.5 Pro Preview 05 06 cost?

Gemini 2.5 Pro Preview 05 06 is priced at $1.25 per 1M input tokens and $10.00 per 1M output tokens when accessed via the haimaker.ai OpenAI-compatible API.

What features does Gemini 2.5 Pro Preview 05 06 support?

Gemini 2.5 Pro Preview 05 06 supports function calling, vision, reasoning, web search.

How do I use Gemini 2.5 Pro Preview 05 06 via API?

Send requests to https://api.haimaker.ai/v1/chat/completions with model "google/gemini-2.5-pro-preview-05-06" using any OpenAI-compatible SDK. Authentication uses a Bearer API key from https://app.haimaker.ai.

Use Gemini 2.5 Pro Preview 05 06 with the haimaker API

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