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- 💰 OpenAI Offers What You Don’t Need?
Plus: AI is ‘beating’ humans at empathy
Read time: 5 minutes
GPT-4.5 is OpenAI’s smartest model yet—more accurate, better at writing, and feels more human. But there’s a catch. It’s not just about performance... something else might be at play.
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AI INSIGHTS
🤖 GPT-4.5 vs Other ChatGPT Models – Simple Comparison
GPT-4.5 is OpenAI’s latest and most advanced model, designed to enhance unsupervised learning and pattern recognition while reducing hallucinations. It is available as a research preview to Pro users and developers, with plans to expand access.
Key takeaways:
1. GPT-4.5 vs GPT-4o: Smarter but Not Faster
Feature | GPT-4.5 | GPT-4o |
|---|---|---|
Accuracy | ✅ Higher factual accuracy (62.5%) | ❌ Lower (38.2%) |
Hallucination Rate | ✅ Fewer mistakes (37.1%) | ❌ More mistakes (61.8%) |
Creativity & Writing | ✅ More insightful & natural responses | ✅ Still good, but less refined |
Speed | ❌ Slower & more expensive | ✅ Faster & cheaper |
Best For | Deep knowledge, writing, problem-solving | Everyday conversations, quick answers |
📌 Bottom Line: GPT-4.5 is smarter but slower. If you need accuracy and deep insights, use GPT-4.5. If you want quick replies, GPT-4o is better.
2. GPT-4.5 vs OpenAI o1 & o3-mini: More Knowledge, Less Logic
Feature | GPT-4.5 | OpenAI o1 | OpenAI o3-mini |
|---|---|---|---|
Reasoning (Thinking Before Answering) | ❌ No reasoning, just recalls knowledge | ✅ Can think step by step | ❌ Basic reasoning |
Creativity & Writing | ✅ Strongest for natural responses | ❌ Weaker | ❌ Weaker |
Solving Logic Problems | ❌ Not designed for complex reasoning | ✅ Best at problem-solving | ❌ Limited ability |
Best For | Writing, brainstorming, coding help | Math, logic, science problems | Simple tasks |
📌 Bottom Line: GPT-4.5 knows more but doesn’t "think" like OpenAI o1. If you need logic-based problem-solving, OpenAI o1 is better.
But Here’s A Thing to consider - GPT-4.5 is crazy expensive compared to other models:
GPT-4.5 costs ~15x more than GPT-4o.
GPT-4o costs ~16x more than GPT-4o mini.
GPT-4.5 is ~150x more expensive than GPT-4o mini.
💰 Estimated Costs per 1M tokens (weighted input/output 4:1):
GPT-4.5 → $90
GPT-4o → $10
GPT-4o mini → $0.6
For context: GPT-4o mini’s input is 1000x cheaper than GPT-4.5’s output and even its cached input is 1000x cheaper than GPT-4.5’s input. ChatGPT Plus users are going to get 5 queries per month with this level of pricing.
🔮 Future AI models will likely match GPT-4.5’s performance at 90% lower costs—and OpenAI will sell it as a major efficiency breakthrough.
What Makes GPT-4.5 Special?
More accurate, fewer mistakes. GPT-4.5 is the best so far at getting facts right. It messes up (hallucinates) way less than GPT-4o, which made errors 61.8% of the time.
Understands you better. It picks up on subtle meanings and reads between the lines better than previous models. You won’t have to over-explain things.
More creative. Whether it’s writing, storytelling, or brainstorming, GPT-4.5 is stronger at coming up with fresh ideas and structuring thoughts clearly.
Feels more human. Conversations flow naturally and feel more emotionally intelligent—like talking to someone who actually "gets" what you're saying.
It’s smart, but it doesn’t “think.” Unlike OpenAI o1, which reasons step by step, GPT-4.5 relies on its vast knowledge but doesn’t plan before answering.
The future? A mix of both. Future AI models will combine reasoning with GPT-4.5’s deep knowledge, making AI even smarter and more capable.
Why it matters: GPT-4.5 pushes the limits of unsupervised learning and AI-human collaboration. While not designed for reasoning, it brings smarter, more intuitive conversations and enhanced factual reliability.
As OpenAI continues scaling models, future versions will likely integrate GPT-4.5’s knowledge base with advanced reasoning abilities, creating AI that is both more intelligent and adaptable. But with this price, many people say that OpenAI offers for something you didn't really want people using.
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What makes GPT-4.5 different from GPT-4o? |
TODAY IN AI
AI HIGHLIGHTS
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AI QUICK HITS
AI CHART
Mercury is a new generation of AI models that use diffusion-based technology instead of traditional methods. The result? Up to 10x faster and cheaper than current large language models (LLMs).
1️⃣ What Makes Mercury Different?
Most AI models generate text one token at a time (left to right). This makes them slow and expensive for long responses. Mercury rewrites the entire output in steps using a diffusion-based approach—similar to how AI creates images with tools like Midjourney or Sora.
✅ Faster generation (over 1000 tokens/sec vs. 50-200 for traditional models)
✅ Better reasoning—it can refine and improve responses instead of making errors.
✅ Cost-efficient—high-quality AI at a fraction of the cost.
2️⃣ Mercury Coder – A High-Speed Code AI
Mercury’s first model is optimized for coding, delivering:
Up to 10x faster speeds than top coding models.
Higher accuracy than GPT-4o Mini, Claude 3.5 Haiku, and Gemini Flash-Lite.
4x faster response times than GPT-4o Mini, making it ideal for real-time development.
Benchmark Wins: Mercury Coder ranks among the best coding AIs while being the fastest available.
3️⃣ What This Means for AI Applications
Mercury’s speed and efficiency change the game for AI deployment:
✅ Faster AI agents—ideal for chatbots, automation, and real-time applications.
✅ Better reasoning—fixes errors instantly, unlike slow reasoning models.
✅ Customizable outputs—allows users to control format, safety, and response structure.
✅ Works on all hardware—runs on existing GPUs, making it easy to adopt.
AI JOBS
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The AI Fire Team
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