GPT-4o is literally my favorite model to play with. It supports almost everything I do on a day-to-day basis. While the AI world was still buzzing about its powerful image generation capabilities, OpenAI decided to make it even better. Did you hear about the updated GPT-4o model, and how it beats GPT-4.5 on the Chatbot Arena leaderboard? If you’re confused and wondering how it outperforms its predecessor at 10x lower cost, this article is for you. Let’s break down the major updates and see how it stacks up against GPT-4.5.

What Does Updated GPT-4o Model Offer?

This update enhances the model’s performance, making it feel more intuitive, creative, and collaborative. Key improvements include:

Better Instruction Following: It follows user instructions more accurately.
Improved Coding: It handles coding tasks more smoothly.
Natural Communication: Responses are clearer, more concise, and less cluttered (e.g., fewer markdown levels and emojis), making it easier to read and more focused.

This updated GPT-4o is now available in ChatGPT and via the OpenAI API.

Updated GPT-4o Performance

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Overall Ranking:
- GPT-4o (#2) now surpasses GPT-4.5 (#2–3) in most categories, tying with Gemini 2.5 Pro in Hard Prompts and Coding.
- Both trail Gemini-2.5-Pro (ranked #1 overall) but outperform other models like Grok-3.
Major Improvements in GPT-4o (vs. Jan 2025 version):
- Hard Prompts: Jumped from #7 → #1
- Math: Improved from #14 → #2
- Coding: Rose from #5 → #1 (tying with Gemini/GPT-4.5)
- Instruction Following: #5 → #2
GPT-4o vs. GPT-4.5:
- Equal in Hard Prompts, Coding, and Multi-Turn (both rank #1).
- GPT-4o leads in Math (#2 vs. #1 for GPT-4.5) and Creative Writing (#2 vs. #2).
- GPT-4.5 slightly better in Longer Queries (#2 vs. #1 for GPT-4o).
Cost Efficiency:
- GPT-4o achieves comparable (or better) performance to GPT-4.5 at 10x lower cost, per OpenAI’s claims.

Let’s Try it Out

Given the claims of GPT-4o being better than GPT 4.5, let’s try both out on same prompt and evaluate their performance:

Task 1: Coding

Prompt: “Create an HTML5 game where eggs fall vertically from random positions at the top of the screen, starting at 1-second intervals and gradually accelerating. The player controls a catcher (cursor-based) to collect eggs. Each successful catch adds +5 points to the real-time scoreboard, while missed eggs deduct -2 points. The game ends instantly if 3 eggs are missed, triggering a ‘Game Over’ screen with the final score. Implement this using pure HTML/CSS/JavaScript with responsive design.“

Output:

Observation:

While both models generated similar game implementations, GPT-4o demonstrated superior attention to visual design. Specifically:

GPT-4o used a well-optimized color scheme, ensuring clear visibility of eggs against the background.
GPT-4.5, while functional, produced lower contrast between elements, making the eggs slightly harder to distinguish.

Verdict:

GPT-4.5 ❌ | Updated GPT-4o ✅

Task 2: Creative Writing + Instruction Following

Prompt: “Using GPT-4o’s image generation as inspiration, write a poignant 10-line poem capturing the divide between those who believe ‘art belongs only to humans’ and those who celebrate ‘democratized creativity through AI.’ Weave in emotions of resistance, wonder, and the tension between tradition and technological possibility.“

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Observation:

While GPT-4.5’s poem presents both perspectives evenly and concludes with harmony, GPT-4o’s version creates stronger emotional contrasts but ends abruptly. Therefore, if you value balance and resolution, 4.5 works better. However, if you prefer intensity over closure, 4o is strong.

Verdict:

GPT-4.5 ❌ | Updated GPT-4o ✅

Task 3: Logical Reasoning

Updated GPT 4o Response:

-- Truth Table: A = false, B = true is the only valid scenario.
-- Proof:
-- 1. Bob says: ¬A
-- 2. If B is a knight → ¬A is true → A is false
-- 3. Alice says: B → ¬A
-- 4. If Alice is a knave, her statement is false → B ∧ A
-- 5. Contradiction unless A = false, B = true ✅
SELECT name, 
 CASE WHEN name = 'Alice' THEN 'knave' 
 WHEN name = 'Bob' THEN 'knight' END AS identity
FROM islanders WHERE name IN ('Alice', 'Bob');

GPT 4.5 Response:

SELECT name, type FROM islanders
WHERE (name = 'Alice' AND type = 'Knight')
 OR (name = 'Bob' AND type = 'Knave');

Observation:

Correct Logical Deduction
- Both models correctly identify Alice as the knave and Bob as the knight.
- But GPT-4.5’s proof contradicts its own conclusion (claims Alice is a knight in Step 5, despite earlier correct steps).
Proof Clarity
- GPT-4o’s proof is flawless and concise (5 lines, no contradictions).
- GPT-4.5’s proof ends with an inconsistent conclusion (A=true contradicts its truth table).
SQL Implementation
- GPT-4o’s query is cleaner (uses CASE for direct mapping).
- GPT-4.5’s query works but is less elegant (hardcodes values).
Truth Table
- GPT-4o skips invalid cases (focuses only on the valid scenario).
- GPT-4.5 lists all cases but mislabels Alice’s statement validity (row 2 should show Alice’s stmt as false for consistency).

Verdict:

GPT-4.5 ❌ | Updated GPT-4o ✅

End Note

GPT-4o isn’t just an upgrade—it’s the new standard. Across coding, creative tasks, and logical reasoning, it outperforms GPT-4.5 with sharper precision, clearer responses, and 10x lower cost. Whether you’re a developer, writer, or problem-solver, GPT-4o delivers faster, smarter, and more reliable results.

Did you try it out? What are your thoughts on this? Let me know in the comment section below.

Stay tuned to Analytics Vidhya Blog for more such content!

👁 Nitika Sharma

Nitika Sharma

Hello, I am Nitika, a tech-savvy Content Creator and Marketer. Creativity and learning new things come naturally to me. I have expertise in creating result-driven content strategies. I am well versed in SEO Management, Keyword Operations, Web Content Writing, Communication, Content Strategy, Editing, and Writing.

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