Google: Gemini Pro 1.5

Gemini Pro is Google DeepMind's advanced AI model. It excels in multimodal tasks, processing text, images, audio, and video. With a context window of up to two million tokens, it can handle vast amounts of information. This allows for detailed analysis of long documents or codebases. Gemini Pro is designed for both developers and enterprises, enhancing various applications. Its efficient architecture ensures high performance and scalability across tasks.

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "google/gemini-pro-1.5",
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What's in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
            }
          }
        ]
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="google/gemini-pro-1.5",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What's in this image?"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          }
        }
      ]
    }
  ]
)
print(completion.choices[0].message.content)

Google: Gemini Pro 1.5

Context2000000

Input$1.25 / M

Output$5 / M

Try Google: Gemini Pro 1.5

Let's chat with Google: Gemini Pro 1.5 now and verify the model's response effectiveness to your questions.

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Description

Google Gemini Pro 1.5 is a new AI model. It was launched in February 2024. This model can process information in many ways. It can handle up to 2 million tokens at once. 

Gemini Pro 1.5 is great at working with different types of media. It can take in text, images, audio, and video. The model can summarize long reports or create original content. For example, it can analyze an hour of video or over 700,000 words in one go. 

In tests, Gemini Pro 1.5 showed amazing recall skills. It reached a 99.7% accuracy rate in finding specific information. This is very useful for tasks that need precision, like legal work or solving tough problems. 

The model uses a special mixture of experts design. This helps it work faster and more efficiently. Users will see better performance compared to older versions. It has an 87.9% win rate in various tests. 

Google Gemini Pro 1.5 also focuses on safety and ethics. Lots of tests have been done to check its reliability. By using this model, developers can explore new AI options. Integrate it into your projects through our AIAPILAB services for better pricing and powerful insights.

Model API Use Case

The Gemini Pro 1.5 API brings new ways to handle large amounts of data. It can manage a context window of up to 1 million tokens. This helps users analyze long documents like a 402-page transcript from the Apollo 11 mission. They can extract specific details with over 99% accuracy.

In software development, Gemini Pro 1.5 reviews large codebases. It provides insights and suggests changes across 100,000 lines of code. Developers can input a full JavaScript library. They will get recommendations for improvements based on the context.

The API is also great for multimedia tasks. Users can upload an hour of video or 11 hours of audio. They can ask detailed questions about the content. For example, it can find scenes from a silent film using simple sketches.

Real-world uses include automating metadata tagging for media. It also helps summarize long reports for research. This API is a game-changer for industries that need fast data processing and analysis.

For more information, visit the official Gemini Pro 1.5 page [here](https://developers.google.com/gemini).

Model Review

Pros

1. Gemini Pro 1.5 revolutionizes data analysis with its vast 2 million token context window. 2. It effortlessly processes diverse formats, including text, images, audio, and video. 3. The model showcases remarkable recall, pinpointing details with 99.7% accuracy. 4. Its mixture of experts architecture boosts efficiency, distributing tasks among specialized components. 5. Extensive safety testing ensures reliability and ethical use in real-world applications.

Cons

1. Gemini Pro 1.5 often misjudges context. It struggles with nuanced questions and detailed reasoning. 2. The model can lag significantly. Processing lengthy inputs, like videos, takes excessive time. 3. Users face strict content filters. Many normal prompts are declined, limiting creative exploration.

Comparison

Feature/Aspect	GPT-4	Claude 3.5	Google Gemini Pro 1.5
Context Window	Up to 128,000 tokens	Up to 200,000 tokens	Up to 2 million tokens
Multimodal Capabilities	Primarily text and limited image	Supports text and images	Supports text, images, audio, and video
Real-World Applications	Effective for conversational tasks and coding	Excels in creative tasks and nuanced interactions	Analyzes lengthy documents, videos, and codebases efficiently
Long Context Understanding	Performance degrades with larger prompts	Good but less effective with large inputs	Excellent at maintaining context across large datasets
Reasoning and Comprehension	Strong reasoning but limited by context size	Good reasoning with nuanced understanding	High accuracy in complex tasks, near-perfect recall in long contexts

API

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "google/gemini-pro-1.5",
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What's in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
            }
          }
        ]
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="google/gemini-pro-1.5",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What's in this image?"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          }
        }
      ]
    }
  ]
)
print(completion.choices[0].message.content)

FAQ

Q1: What is Gemini Pro 1.5?  
A1: Gemini Pro 1.5 is Google's advanced multimodal AI model.  

Q2: How many tokens can Gemini Pro 1.5 process?  
A2: It can handle up to 1 million tokens in a single prompt.  

Q3: What types of data can Gemini Pro 1.5 analyze?  
A3: It analyzes text, images, audio, and video seamlessly.  

Q4: How does Gemini Pro 1.5 perform on long-context tasks?  
A4: It excels, maintaining high accuracy across extensive data inputs.  

Q5: Can I access Gemini Pro 1.5 through an API?  
A5: Yes, it is available via the Gemini API for developers.