GPT-5 Capabilities - New Frontiers in Multimodal AI

GPT-5 Overview

GPT-5 is the latest large language model developed by OpenAI. It features significantly improved reasoning capabilities, long context handling, and native multimodal support.

Key Evolution Points

Improved Reasoning Capabilities

Math and logic problem accuracy:
- GPT-4: 87%
- GPT-5: 96%

Complex coding tasks:
- GPT-4: 72%
- GPT-5: 89%

Extended Context

Context window:
- GPT-4 Turbo: 128K tokens
- GPT-5: 500K tokens

→ Can process approximately 400 pages of a book at once

Native Multimodal

Image Understanding and Generation

from openai import OpenAI

client = OpenAI()

# Image analysis
response = client.chat.completions.create(
    model="gpt-5",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Please analyze this image"},
                {
                    "type": "image_url",
                    "image_url": {"url": "https://example.com/image.jpg"}
                }
            ]
        }
    ]
)

# Image generation
response = client.images.generate(
    model="gpt-5",
    prompt="Mount Fuji and cherry blossoms landscape, photorealistic style",
    size="1024x1024"
)

Audio Support

# Speech to text
with open("audio.mp3", "rb") as audio_file:
    response = client.audio.transcriptions.create(
        model="gpt-5",
        file=audio_file,
        language="en"
    )

# Text to speech
response = client.audio.speech.create(
    model="gpt-5-tts",
    voice="nova",
    input="Hello, I am GPT-5."
)

Code Generation Evolution

Complex System Design

response = client.chat.completions.create(
    model="gpt-5",
    messages=[
        {
            "role": "system",
            "content": "You are a senior software architect."
        },
        {
            "role": "user",
            "content": """
            Design a microservices architecture for an e-commerce site.
            Requirements:
            - 1 million PV per day
            - Payment processing
            - Inventory management
            - Real-time notifications
            """
        }
    ]
)

Real-time Code Execution

response = client.chat.completions.create(
    model="gpt-5",
    messages=[
        {"role": "user", "content": "Calculate the first 20 terms of the Fibonacci sequence"}
    ],
    tools=[{"type": "code_interpreter"}]
)
# GPT-5 actually executes code and returns results

New API Features

Structured Output

from pydantic import BaseModel

class Product(BaseModel):
    name: str
    price: float
    description: str
    categories: list[str]

response = client.chat.completions.create(
    model="gpt-5",
    messages=[
        {"role": "user", "content": "Generate product information for iPhone 15 Pro"}
    ],
    response_format={"type": "json_object", "schema": Product.model_json_schema()}
)

Improved Tool Usage

tools = [
    {
        "type": "function",
        "function": {
            "name": "search_database",
            "description": "Search the database",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {"type": "string"},
                    "limit": {"type": "integer"}
                }
            }
        }
    }
]

# GPT-5 appropriately combines multiple tools
response = client.chat.completions.create(
    model="gpt-5",
    messages=[{"role": "user", "content": "Look up the top 10 recent sales"}],
    tools=tools
)

Pricing Structure

Safety and Alignment

• Enhanced content filtering
• Improved hallucination detection
• Increased transparency (reasoning process explanation)

Summary

GPT-5 represents significant advances in reasoning capabilities, multimodal support, and long text processing. Particularly in code generation and complex problem solving, practical utility has greatly improved.