geminiavailablesupports_function_callingsupports_parallel_function_callingsupports_prompt_cachingsupports_response_schemasupports_system_messagessupports_tool_choicesupports_visionsupports_web_search

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GoogleAvailable on AvalAI

gemini-2.5-pro-preview-tts API on AvalAI

gemini-2.5-pro-preview-tts

gemini-2.5-pro-preview-tts is an AI model from Google that is available through AvalAI's OpenAI-compatible API.

Open dashboardCompare

Price display scale

Input price$1.25 / 1M tokens

Output price$10.00 / 1M tokens

Context window1,048,576 tokens

Maximum output65,535 tokens

Use gemini-2.5-pro-preview-tts with the AvalAI API

Keep the API key in an environment variable and send requests from server-side code.

Bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{"model": "gemini-2.5-pro-preview-tts", "messages": [{"role": "user", "content": "Give a concise, practical solution."}]}'

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AVALAI_API_KEY"],
    base_url="https://api.avalai.ir/v1",
)

response = client.chat.completions.create(
    model="gemini-2.5-pro-preview-tts",
    messages=[{"role": "user", "content": "Give a concise, practical solution."}],
)

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

JavaScript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const response = await client.chat.completions.create({
  model: "gemini-2.5-pro-preview-tts",
  messages: [{ role: "user", content: "Give a concise, practical solution." }],
});

console.log(response.choices[0].message.content);

Create an API keyRead the quickstart

Capabilities and endpoints

• Function calling
• Parallel function calling
• Prompt caching
• Structured output
• System messages
• Tool choice
• Vision
• Web search

gemini-2.5-pro-preview-tts rate limits

Tier	RPM	TPM
Tier 1	25	1,000,000
Tier 2	250	2,000,000
Tier 3	500	3,000,000
Tier 4	750	5,000,000
Tier 5	1,000	10,000,000

Related models

• gemini-2.5-pro-tts
• Gemini 2.5 Pro
• gemini-2.5-flash-tts
• gemini-2.5-flash-preview-tts

Frequently asked questions

What is the gemini-2.5-pro-preview-tts API on AvalAI?

Create an AvalAI API key and send the model ID gemini-2.5-pro-preview-tts to one of the supported endpoints shown on this page.

How much does the gemini-2.5-pro-preview-tts API cost on AvalAI?

The gemini-2.5-pro-preview-tts API on AvalAI costs $1.25 per 1M input tokens and $10.00 per 1M output tokens.

What is the token cost for gemini-2.5-pro-preview-tts?

Current AvalAI pricing for gemini-2.5-pro-preview-tts is $1.25 / 1M tokens for input and $10.00 / 1M tokens for output.

What is the gemini-2.5-pro-preview-tts context window?

The recorded maximum input context for gemini-2.5-pro-preview-tts is 1,048,576 tokens.

What are the rate limits for gemini-2.5-pro-preview-tts on AvalAI?

On tier 5, gemini-2.5-pro-preview-tts on AvalAI supports up to 1,000 requests per minute and 10,000,000 tokens per minute.

What features does gemini-2.5-pro-preview-tts support on AvalAI?

gemini-2.5-pro-preview-tts on AvalAI supports Function calling, Parallel function calling, Prompt caching, Structured output, System messages, Tool choice, Vision, Web search.

What account tier is required to use gemini-2.5-pro-preview-tts on AvalAI?

Calling gemini-2.5-pro-preview-tts on AvalAI requires tier 1 or higher.

Third-party data and freshness

• Pricing, availability, endpoints, and rate limits: AvalAI structured data (authoritative)