GPT-4O is literally my favorite model to play. It admits almost everything I do on a day -to -day basis. While the world of ai was still buzzing about its powerful image generation capabilities, OpenAi decided to do it even better. Did you hear about the updated GPT-4o model and how it exceeds GPT-4.5 in the <a target="_blank" href="https://huggingface.co/spaces/lmarena-ai/chatbot-arena-leaderboard” target=”_blank” rel=”noreferrer noopener nofollow”>Chatbot Arena classification table? If you are confused and ask how your predecessor exceeds at a cost 10 times lower, this article is for you. Let's break down the main updates and see how it compares with GPT-4.5.
What offers the updated GPT-4 model?
This update improves model performance, making it feel more intuitive, creative and collaborative. Key improvements include:
- Better instruction following: Follow the user's instructions more precise.
- Improved coding: Manage coding tasks more softly.
- Natural communication: The answers are clearer, more concise and less crowded (for example, less levels of Markdown and Emojis), which makes it easier to read and more focused.
This updated GPT-4 is now available in ChatGPT already through the OpenAI API.
Updated GPT-4 performance

- General classification:
- GPT-4O (#2) Now it exceeds GPT-4.5 (#2–3) In most categories, linking with Gemini 2.5 PRO in difficult indications and coding.
- Both Trail Gemini-2.5-Pro (classified #1 in general) but exceed other models such as Grok-3.
- Important improvements in GPT-4O (versus January 2025 version):
- Hard indications: Jumped from #7 → #1
- Math: Improved #14 → #2
- Coding: Rose of #5 → #1 (tied with Gemini/GPT-4.5)
- Next instruction: #5 → #2
- GPT-4O vs. GPT-4.5:
- The same in difficult indications, coding and multiple laps (both range #1).
- GPT-4O leads in mathematics ( #2 vs. #1 for GPT-4.5) and Creative writing ( #2 vs. #2).
- GPT-4.5 slightly better in longer consultations ( #2 vs. #1 for GPT-4O).
- Profitability efficiency:
- GPT-4O achieves comparable (or better) yield to GPT-4.5 at a cost 10 times lower, according to OpenAi statements.
Let's try it
Given the statements that GPT-4O is better than GPT 4.5, we both try with the same notice and evaluate their performance:
Task 1: Coding
Immediate: “Create an HTML5 game where eggs fall vertically from random positions at the top of the screen, starting at intervals of 1 second and gradually accelerating. The player controls a receiver (based on cursor) to collect eggs. Each successful capture adds +5 points to the score in real time, while the lost eggs deduce -2 points. The game ends instantly if 3 eggs are lost, which caused a 'game on' screen with the final score. Implement this using HTML/CSS/Pure JavaScript with a receptive design.“
Production:
Observation:
While both models generated similar games implementations, GPT-4O demonstrated superior attention to visual design. Specifically:
- GPT-4O He used a well optimized color scheme, ensuring clear visibility of eggs against the background.
- GPT-4.5While functional, it produced a lower contrast between the elements, which makes the eggs slightly more difficult to distinguish.
Verdict:
GPT-4.5 | GPT-4O Updated
Task 2: Creative writing + instruction below
Immediate: “Using the generation of GPT-4 images as inspiration, write a moving poem of 10 lines that captures the division between those who believe that “art belongs only to humans” and those who celebrate 'democratized creativity through ai'. Weave in emotions of resistance, amazement and tension between tradition and technological possibility.“

Observation:
While the GPT-4.5 poem presents both perspectives uniformly and concludes with harmony, the GPT-4o version creates stronger emotional contrasts but ends abruptly. Therefore, if you value the balance and resolution, 4.5 works better. However, if you prefer intensity on closure, 4th is strong.
Verdict:
GPT-4.5 | GPT-4O Updated
Task 3: Logical reasoning
Updated GPT 4th answer:
-- 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 Answer:
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 rascal and Bob as the gentleman.
- But The GPT-4.5 test contradicts its own conclusion (it states that Alice is a gentleman in step 5, despite the previous correct steps).
- Test clarity
- The GPT-4o test is Impeccable and concise (5 lines, without contradictions).
- The GPT-4.5 test ends with a inconsistent conclusion (A = true contradicts your truth table).
- SQL implementation
- The GPT-4o consultation is cleaner (USA
CASE
for direct mapping). - The GPT-4.5 query works but it is less elegant (Hard code values).
- The GPT-4o consultation is cleaner (USA
- Real table
- GPT-4O omits non -valid boxes (It focuses only on the valid stage).
- GPT-4.5 List all cases but Disqualing Malness of Alice's statement (Row 2 must show Alice's STMT as FAKE for consistency).
Verdict:
GPT-4.5 | GPT-4O Updated
Also read:
Final note
GPT-4O is not just an update, it is the new standard. In all coding, creative tasks and logical reasoning, it exceeds GPT-4.5 with more clear precision, clearer responses and cost 10 times lower. Whether it is a developer, writer or problem solving, GPT-4O offers faster, more intelligent and more reliable results.
Did you try it? What do you think about this? Let me know in the comments section below.
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