Gemini Pro 2.5 API

Gemini Pro 2.5 is Google's most advanced reasoning AI model designed for complex tasks, showcasing strong reasoning and coding capabilities. It leads various benchmarks, indicating its enhanced performance.

Modalities: Text, ImageText
Context window: 1M tokens
Released: Sep 9, 2025
Status: Deprecated

Gemini Pro 2.5 overview

Gemini Pro 2.5 by Google

Gemini Pro 2.5 is Google's advanced AI model designed for complex tasks, showcasing strong reasoning and coding capabilities.

Gemini Pro 2.5 specs

Model ID: google/gemini-2.5-pro
Developer: Google
Context window: 1,000,000 tokens
Max output: 65,536 tokens
Input: Text, Image
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

Overview

Gemini Pro 2.5 Preview demonstrates significant improvements in performance, including top-tier results in math problem-solving, coding, and multi-step reasoning tasks. It’s part of Google's family of scalable Gemini models optimized for AI-native applications and products.

Key Features

Strong Reasoning Capabilities: Excels in tasks requiring logical deduction, planning, and problem-solving.
Code Understanding: Performs well on competitive programming tasks.
Multi-Turn Dialogue: Maintains coherent conversations across multiple exchanges.

Intended Use

Coding Assistant: Efficient at generating and explaining code.
Educational Tools: Ideal for tutoring and problem-solving support.
Enterprise Automation: Supports workflow reasoning and task management.
Research Applications: Handles complex documents and analysis tasks.

Architecture

Transformer-based architecture with reasoning-specific layers optimized for multimodal inputs (text and images). Includes advanced post-training enhancements.

Training Data

Combines billions of tokens with terabytes of multimedia data spanning diverse domains.

Code Samples:

The model is available on the AI/ML API platform as "Gemini Pro 2.5 Preview" .

Use cases

AI-powered research and learning assistants
Real-time multimedia AI applications
Enterprise AI workflows requiring complex reasoning and multimodal inputs
Developer tools for code generation and testing
Customer support and virtual assistants with advanced communication abilities

Capabilities

Function calling
Streaming
Structured outputs
Reasoning

Gemini Pro 2.5 benchmarks by Artificial Analysis

See how Gemini Pro 2.5 compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed#101 / 219112Output tokens / second Latency#212 / 21625.18Seconds to first token Humanity's Last Exam#130 / 45822.5%Score GPQA Diamond#103 / 43984.4%Score

Speed

Output tokens / second

Benchmark results

Compare 6 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Gemini Pro 2.5 API pricing

Gemini Pro 2.5 pricing in US dollars
Usage	Price	Unit
Input	$1.25	1M tokens
Output	$10	1M tokens
Cached input	$1.25	1M tokens

Gemini Pro 2.5 is deprecated on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Gemini Pro 2.5 vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
Gemini Pro 2.5	$1.25	$10
Gemini 3.5 Flash Lite	$0.3	$2.5
Gemini 3.8 Flash	$0.75	$3.75
Gemini 3.7 Flash	$0.75	$3.75
Gemini 4 Argon	$2	$10

How to use the Gemini Pro 2.5 API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "google/gemini-2.5-pro",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "google/gemini-2.5-pro",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "google/gemini-2.5-pro",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

All posts

Gemini Pro 2.5 FAQ

What is the context window of Gemini Pro 2.5?

Gemini Pro 2.5 has a 1,000,000 tokens context window and can return up to 65,536 tokens.

What inputs and outputs does Gemini Pro 2.5 support?

Gemini Pro 2.5 takes image, text as input and returns text.

What is the model ID for Gemini Pro 2.5?

Use google/gemini-2.5-pro as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was Gemini Pro 2.5 released?

Gemini Pro 2.5 became available on September 9, 2025.

How much does Gemini Pro 2.5 cost?

Gemini Pro 2.5 is priced at input $1.625 / 1M tokens, output $13 / 1M tokens, cached input $1.625 / 1M tokens.

Does Gemini Pro 2.5 support streaming?

Yes, Gemini Pro 2.5 can stream responses as they are generated.

Can Gemini Pro 2.5 read images?

Yes, Gemini Pro 2.5 accepts image input alongside text.

Who created Gemini Pro 2.5?

Gemini Pro 2.5 was built by Google.

Does Gemini Pro 2.5 support calling external tools or functions?

Yes, it supports function calling, including parallel tool calls and structured output.

Start building with Gemini Pro 2.5

Get API key

Gemini Pro 2.5 API

google/gemini-2.5-pro

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "google/gemini-2.5-pro",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "google/gemini-2.5-pro",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "google/gemini-2.5-pro",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

Docs for AI agents Plain-text index · llms.txt API documentation API reference and examples

Talk to our sales team

Thanks for reaching out

Gemini Pro 2.5 API

Gemini Pro 2.5 overview

Gemini Pro 2.5 by Google

Gemini Pro 2.5 specs

Overview

Key Features

Intended Use

Architecture

Training Data

Code Samples:

Use cases

Capabilities

Gemini Pro 2.5 benchmarks by Artificial Analysis

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

Gemini Pro 2.5 API pricing

Gemini Pro 2.5 vs other models: token prices

How to use the Gemini Pro 2.5 API

Build with your agent

1Get your API key

2Make your first request

Related articles

Gemini Pro 2.5 FAQ

Start building with Gemini Pro 2.5

Gemini Pro 2.5 API

Build with your agent

1Get your API key

2Make your first request

Gemini Pro 2.5 API

Gemini Pro 2.5 overview

Gemini Pro 2.5 by Google

Gemini Pro 2.5 specs

Overview

Key Features

Intended Use

Architecture

Training Data

Code Samples:

Use cases

Capabilities

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

Gemini Pro 2.5 API pricing

Gemini Pro 2.5 vs other models: token prices

How to use the Gemini Pro 2.5 API

Build with your agent

1Get your API key

2Make your first request

Models similar to Gemini Pro 2.5

Gemini 4 Argon

Gemini 3.8 Flash

Gemini 3.7 Flash

Grok 4.20

Grok 4.3

Grok 4.20 Non-Reasoning

Related articles

Best AI Models for Agentic Workflows and Tool Use in 2026

Best LLMs for Long-Context & Multimodal Tasks in 2026

Gemini Pro 2.5 FAQ

Start building with Gemini Pro 2.5