Artificial intelligence is evolving rapidly, and GPT-4.5 has taken the AI world by storm. But is it worth the hype? After spending nearly $500 testing this model, I can confidently say that GPT-4.5 is unlike anything I’ve seen before. Despite the high cost and questionable benchmarks, the experience of using GPT-4.5 is simply amazing.
What Makes GPT-4.5 Special?
GPT-4.5 is estimated to have between 5 and 15 trillion parameters, making it the largest AI model to date. For comparison, DeepSeek R1, already considered a massive model, has only 671 billion parameters. This scale allows GPT-4.5 to generate highly accurate, human-like responses with reduced hallucinations and better reasoning capabilities.
Cost and Accessibility
One of the biggest downsides of GPT-4.5 is its hefty price tag:
- $200 per month for ChatGPT Pro users
- $75 per million input tokens
- $150 per million output tokens
This pricing makes GPT-4.5 15 times more expensive than Claude 3.7, making it the priciest AI model ever. Many companies have refused to integrate GPT-4.5 due to these costs. However, an alternative exists—Vectal Pro, which offers access to GPT-4.5 for just $30 per month, along with other powerful AI tools.
Performance and Accuracy
GPT-4.5 significantly reduces hallucinations compared to other models. It provides:
- Improved accuracy for common questions
- Better formatting and readability
- More precise and concise responses
Comparing AI Models
GPT-4.5 goes head-to-head with other leading AI models, including Grok-3 and Claude 3.7 Sonnet. Here are some comparison tests:
SVG Graphics Test
Prompt: Draw a cat in SVG.
- GPT-4.5: Generated a well-detailed SVG image
- Grok-3: Failed, generating a generic image instead
- Claude 3.7 Sonnet: Performed well, but with less detail than GPT-4.5
Writing Test
Prompt: Write a viral tweet about rejecting AI advancements.
- GPT-4.5: Not using AI is like writing books by hand after the printing press was invented—you’re going to lose.
- Grok-3: Overly wordy, less impactful.
- Claude 3.7 Sonnet: Good, but not as engaging.
GPT-4.5 won this round with its concise and powerful phrasing.
Challenges for OpenAI
Despite being a leader in AI, OpenAI faces multiple challenges:
- Talent Drain – Key figures like Ilya Sutskever and Mira Murati have left.
- Copyright Issues – Dataset limitations due to legal concerns.
- Computing Inefficiencies – Google DeepMind and Elon Musk’s xAI are offering AI at lower costs.
Many experts believe that the race for AGI (Artificial General Intelligence) will be decided between Google DeepMind and xAI due to their superior data, talent, funding, and infrastructure.
AI’s Future: Slowing Down or Just Beginning?
Some worry that AI progress is slowing, but recent releases say otherwise:
- O3 Mini – A powerful model for reasoning tasks.
- Grok-3 – Claimed to be the world’s best model.
- Claude 3.7 – The top-performing coding AI.
These advancements indicate that AI is shifting towards reasoning-based models rather than just improving traditional LLMs.
Is GPT-4.5 Good for Coding?
Many critics claim that GPT-4.5 is bad at coding, but my experience suggests otherwise. When used inside Cursor, a popular AI-powered coding tool, GPT-4.5 performed exceptionally well, especially in:
- Project setup
- Code debugging
- Providing clear instructions
Unlike Claude 3.7, which tends to overstep by generating excessive code, GPT-4.5 is efficient and precise.
Building with GPT-4.5
In a quick test, I asked GPT-4.5 to:
- Suggest five interactive app ideas → Chose a drawing app.
- Recommend a tech stack → Chose React.
- Guide me in setting up the project → Provided step-by-step instructions.
- Debug issues without human intervention.
In just a few minutes, GPT-4.5 built a fully functional drawing app from scratch—simply by following plain English instructions.
Should You Use GPT-4.5?
GPT-4.5 is not just another AI model—it’s a game-changer. If you haven’t tried it yet, now’s the time to get started!