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CODING WAR: DeepSeek V3.1 vs ChatGPT-5 PRO - Which AI Codes Better? πŸ”₯πŸ”₯πŸ”₯

Transcribed Jun 17, 2026 Watch on YouTube β†—
Intermediate 4 min read For: Developers and tech enthusiasts interested in comparing AI coding capabilities.
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πŸ“ˆ Moderate

AI Summary

This video pits DeepSeek V3.1 against GPT-5 Pro in a series of coding challenges, testing their ability to generate functional front-end projects. Over seven prompts, the creator evaluates each model's output quality, speed, and feature accuracy, ultimately declaring a winner based on a point system.

[0:00]
Challenge Setup

The video compares DeepSeek V3.1 Deepthink and GPT5 Pro in a coding battle, focusing solely on coding benchmarks.

[0:43]
Flappy Bird Clone

GPT-5 Pro's version worked perfectly with accurate collision detection and sound effects, while DeepSeek's had a missing pipe gap and faulty pixel detection.

[2:11]
Snake Game Challenge

DeepSeek's snake game worked but had bugs causing repeated game-over. GPT-5 Pro's version was completely non-functional, with buttons unresponsive and the game starting prematurely.

[3:38]
Portfolio Website

Both models produced good results, but the creator preferred GPT-5 Pro's neon theme and overall design, giving it the point.

[5:35]
Shopping Website

GPT-5 Pro's website was fully functional with working filtering, quick view, and add-to-cart. DeepSeek's version was mostly non-functional 'showpiece'.

[7:08]
Business Dashboard

DeepSeek excelled with a real-time updating UI, despite a minor scrolling bug. GPT-5 Pro's dashboard had a terrible UI and no working functions.

[8:19]
Crypto Tracking Website

DeepSeek outpaced GPT-5 Pro with a well-designed site featuring price alerts, portfolio, and candlestick charts. GPT-5 Pro's output was unfinished and disorganized.

[9:24]
3D Solar System

GPT-5 Pro's version had better visuals, clickable planets with info, and asteroid layers. DeepSeek's was decent but had non-working clickable planets and strange planet visuals.

GPT-5 Pro narrowly wins the coding battle by one point, but DeepSeek V3.1 offers excellent value and competes closely, often excelling in specific tasks like real-time data dashboards. The creator suggests both models have strengths, but for this benchmark, GPT-5 Pro takes the win.

Clickbait Check

85% Legit

"The title accurately promises a coding showdown between the two models, and the video delivers exactly that with detailed tests and a clear winner."

Study Flashcards (7)

Which model won the Flappy Bird clone test?

easy Click to reveal answer

GPT-5 Pro.

1:56

What bug did DeepSeek's Flappy Bird have?

medium Click to reveal answer

No gap between pipes and faulty pixel detection causing repeated game over.

1:26

How many points did GPT-5 Pro win by?

easy Click to reveal answer

One point.

10:34

In which test did DeepSeek outperform GPT-5 Pro?

medium Click to reveal answer

Business Dashboard (Test 5) and CryptoTracking Website (Test 6).

7:30

What was the final score of the competition?

hard Click to reveal answer

GPT-5 Pro won by one point, with both models ending at 3-3 before the final test.

9:12

What feature did GPT-5 Pro's 3D solar system have that DeepSeek's lacked?

medium Click to reveal answer

Clickable planets with information panels and asteroid layers.

10:21

What was the creator's overall verdict on both models?

medium Click to reveal answer

Both are great; DeepSeek is more cost-effective, but GPT-5 Pro won this coding benchmark.

10:39

πŸ’‘ Key Takeaways

πŸ“Š

GPT-5 Pro wins Flappy Bird Test

Shows GPT-5 Pro's ability to generate a fully functional game with accurate collision detection and sound effects.

1:56
πŸ’‘

DeepSeek wins Snake Game

DeepSeek's game was playable despite bugs, while GPT-5 Pro's was completely broken, demonstrating that older models can sometimes outperform newer ones.

3:29
πŸ”§

GPT-5 Pro's Design Preference

Showcases that subjective UI/UX can influence which model is preferred, even when both meet functional requirements.

5:17
πŸ“Š

GPT-5 Pro's Functional Shopping Site

Demonstrates GPT-5 Pro's strength in creating complex, functional e-commerce features like filtering and cart management.

6:54
πŸ’‘

Final Score Ties Before Last Test

Highlights the intense competition and that neither model dominates consistently across all tasks.

9:12

βœ‚οΈ Creator Tools: Viral Hooks

AI-generated clip ideas for Shorts based on the transcript

AI Coding Battle: DeepSeek vs GPT-5

45s

The opening sets up a direct, high-stakes comparison between two popular AI models, immediately engaging viewers interested in AI and coding.

β–Ά Play Clip

Snake Game Disaster: Both AI Fail

60s

Both models failing on a classic game creates a surprising and relatable moment, sparking debate about AI limitations and generating comments.

β–Ά Play Clip

Portfolio Showdown: GPT-5's Stunning Design

60s

The clear visual difference in portfolio websites, with GPT-5's superior design, provides a compelling and shareable comparison that highlights AI's creative potential.

β–Ά Play Clip

Final Test: 3D Solar System Winner

60s

The final, visually impressive test with a clear winner (GPT-5) creates a satisfying conclusion, encouraging viewers to comment on their preferred model and predictions.

β–Ά Play Clip

[00:00] Hi guys, welcome back to the channel. In

[00:02] today's video, we're going to show you a

[00:03] comparison between Deepseek 3.1 versus

[00:07] GPT 5 Pro model. In our previous video,

[00:10] one of our subscribers commented asking

[00:12] us to create a video on GPT Pro versus

[00:15] Deepseek 3.1. So, here we are with

[00:18] another brand new video. So, let's jump

[00:21] straight into the action. Setting up our

[00:23] coding battle.

[00:25] So here as you can see we have the GPT5

[00:28] Pro model and on the other hand we have

[00:31] DeepSeek V3.1 Deepthink.

[00:35] In this video we're purely going to

[00:36] focus on coding benchmarks. So this is

[00:39] going to be intense.

[00:43] >> Here comes our first prompt. Generate a

[00:46] complete Flappy Bird clone using HTML

[00:49] CSS. include pixel perfect collision

[00:51] detection, smooth animation, score

[00:54] tracking, and sound effects using web

[00:55] audio API. Let's give this prompt to

[00:58] both models and let's see what happens.

[01:00] So, as you can see, DeepSeek started his

[01:02] thinking and GPT Pro is thinking, too.

[01:07] And to my surprise, Deepseek finished

[01:09] his thinking and also started writing

[01:11] code.

[01:13] Sometimes it's fast, too. That's

[01:14] interesting. Okay, now Deepseek is

[01:17] finished. Let's check the code and

[01:19] Here's the game.

[01:22] >> Let's click on start.

[01:24] >> Guys, what the heck? How am I supposed

[01:26] to cross this pipe if there's no gap?

[01:29] >> And also, pixel detection is not

[01:30] working. It's repeatedly showing game

[01:33] over.

[01:35] >> This is not good, Deep Seek. Now, let's

[01:37] check GPT Pro. So, here's the finished

[01:40] code. Let me copy the code and test it.

[01:42] Let's click on start. And yeah, it's

[01:46] working. It's perfectly working. The

[01:48] pipe detection is working accurately.

[01:50] Score function is working too. And it

[01:52] has nice sound effects. Not harsh, not

[01:54] too subtle.

[01:56] >> So overall, it's working perfectly. One

[01:59] point to GPT5 Pro.

[02:06] [Music]

[02:11] >> Test two, snake game challenge. Now,

[02:14] here's our second prompt. Create a

[02:16] modern snake game with neon glowing

[02:18] effects, dynamic grid scaling, multiple

[02:21] difficulty levels, food powerups, smooth

[02:23] snake movement, and gameover animations.

[02:27] Let's send this prompt to both GPT as

[02:30] well as Deepseek model.

[02:32] Okay, so here Deepseek is finished. Let

[02:35] me copy this code and test it. Let's

[02:37] click on start game. And it seems it's

[02:39] not working. Let me click on easy level.

[02:43] Okay, it started working. I think there

[02:45] are some function misalignments, but

[02:47] anyway, let's play this game. Okay, did

[02:49] you guys notice why we got game over

[02:53] H? Okay, I got it. We're getting the

[02:56] same game over again and again. There

[02:59] are some errors and bugs in the code.

[03:01] So, DeepS works, but not fully

[03:03] perfectly. It needs to fix some bugs and

[03:05] then only it can run properly.

[03:08] Now, let's check GPT 5 Pro. So, here's

[03:12] the GPT output. Let me copy the code and

[03:15] test it. We got game over before we even

[03:18] started the game.

[03:20] GPT, you really messed up. Terrible

[03:24] mistake. No buttons are working and the

[03:26] game already started before we even

[03:27] pressed start.

[03:29] >> Deepseek gets one point. At least DeepS

[03:31] was working. Now both models have equal

[03:34] points. Let's move to the next prompt.

[03:38] Generate a cuttingedge portfolio website

[03:40] for a freelance video editor featuring

[03:42] video reels. Showcase with custom video

[03:45] player, before after project

[03:47] comparisons, client testimonials,

[03:50] carousel, timeline of projects, contact

[03:53] form with animation, and parallax

[03:56] scrolling effects.

[03:58] Let's send this prompt to each model.

[03:59] And I'm noticing that today Deep Seek's

[04:01] thinking is very fast. Like it's hardly

[04:04] taking minutes and starting the code. So

[04:07] that's a good point. There's definitely

[04:09] improvement in coding. I can surely say

[04:11] that about Deep Seek. Okay, so Deepseek

[04:14] is finished. Let me copy the code and

[04:16] test it. Here's the website created by

[04:19] DeepSeek model. Looking good. The color

[04:22] theme, animation effects, and it has all

[04:25] the requirements that meet our

[04:26] expectations.

[04:28] There are client testimonials as we

[04:30] asked for and project timeline as well.

[04:33] So, it accurately followed our prompt so

[04:35] well.

[04:37] Good job, DeepSeek. Now, let's test GPT5

[04:40] Pro.

[04:42] Okay, copy the code and let's see the

[04:43] output.

[04:45] >> Okay, guys, first reaction. Wow, the

[04:48] color theme picked by GPT is amazing.

[04:50] Like this blue neon theme giving that

[04:52] tech vibe like it should as this website

[04:55] is designed for a video editor.

[04:58] So, the color theme is excellent and

[05:00] there are video samples which are empty,

[05:02] but they're there. And the project

[05:03] timeline, the project timeline looks

[05:06] good to me. If you look closer, there's

[05:08] slight misalignment. It should be at the

[05:10] center of the line, but anyway. So,

[05:12] there's a contact form with slight

[05:14] animation. Overall, I like the GPT

[05:17] website more than Deepseek. It could be

[05:20] a personal choice, too. Some of you may

[05:22] like the Deepseek website, but for me

[05:24] personally, I'm liking the GPT website.

[05:27] So, GPT gets one more point. Now, GPT is

[05:30] leading in our comparison. Let's move to

[05:32] the next prompt.

[05:35] Test four. Create a high-end shopping

[05:38] website with product filtering system,

[05:40] interactive product viewer, shopping

[05:43] cart with slide out animation, wish list

[05:45] functionality, product zoom on hover,

[05:48] rating system, and checkout process with

[05:50] form validation. You can see we're

[05:52] giving hard and specific functions so

[05:54] that we can see who follows the prompt

[05:56] more accurately.

[05:58] Let's send this prompt to both models.

[06:00] And you can notice DeepSk's thinking is

[06:02] very fast today.

[06:04] I noticed that in coding, especially

[06:06] DeepSeek improved its thinking. Now it's

[06:08] more efficient and faster than the

[06:10] earlier version. Okay, now Deepseek is

[06:13] finished. Let me copy the code and test

[06:15] it. And here's the DeepSseek output. The

[06:19] theme is very generic, very basic

[06:21] website, and product filtering functions

[06:23] are not working very well. None of the

[06:26] buttons are working, so it's just a

[06:27] showpiece, nothing else. DeepSeek

[06:29] disappointed us here. Anyway, let's

[06:32] check GPT5 Pro output. Okay, so here's

[06:35] the code. Let me copy this and check.

[06:39] And now this is the website generated by

[06:41] GPT5 Pro. And I must say this looks

[06:43] good. No joke. The filtering functions

[06:47] are working perfectly. Quick view is

[06:49] also working and add to cart is fully

[06:52] functional.

[06:54] >> So GPT really put some effort here and

[06:56] made it functional as well as we wanted.

[06:58] So one point to GPT again.

[07:01] Now GPT is two points ahead of Deepseek.

[07:04] Let's give our next prompt.

[07:08] >> Test five. Generate a comprehensive

[07:10] business dashboard showing AI

[07:12] development metrics, profit analysis,

[07:15] growth charts using chartjs, animated

[07:18] counters, and real time data simulation.

[07:20] Okay, this is a bit harder than the

[07:22] earlier ones. Now let's send this prompt

[07:24] to both models. While deepseek is

[07:26] finished, let's test it.

[07:30] Okay, this time DeepSeek excelled at

[07:32] this. It's updating in real time and the

[07:35] UI is looking good to me, but there's a

[07:37] bug I noticed. It keeps updating in real

[07:39] time, but there's no function to handle

[07:41] long earlier data, which is making the

[07:43] website length keep going on and on. But

[07:46] overall, this website is looking good.

[07:49] Now, let's test GPT 5 Pro output. And

[07:52] here's the output. And GPT again messed

[07:55] up this. The UI looks terrible with no

[07:58] functions at all. There's nothing to

[07:59] watch. Okay, let's give the point to

[08:01] DeepSeek. Now, Deepseek is only one

[08:04] point behind GPT. What do you think,

[08:07] guys? Will Deepseek overtake GPT5 Pro

[08:10] here? Comment down below your

[08:12] predictions, and those who accurately

[08:14] predict will get a shout out in the next

[08:16] upcoming video. Test six, cryptotracking

[08:19] website. Okay, so here's our next

[08:20] prompt. Build a cryptotracking website

[08:22] with real-time price updates,

[08:24] interactive candlestick charts,

[08:26] portfolio calculator, price alert

[08:29] system, and animated price change

[08:31] indicators with color coding. Let's send

[08:33] this prompt to Deepseek as well as GPT5

[08:36] Pro. Okay, Deepseek is finished. Let me

[08:40] copy the code and run this. And here's

[08:42] the output. It's looking good with all

[08:44] the functions we expected. There are

[08:46] price alerts and portfolio and

[08:48] candlestick charts. And the UI is

[08:50] overall looking good. Now let's test GPT

[08:53] 5 Pro. Okay, so copy this code and

[08:56] here's the output.

[08:58] GPT, what happened to you, boy? This is

[09:00] what they call

[09:02] >> Well, let's just say it looks very bad

[09:04] and unorganized and it's not even

[09:06] finished properly. Deep Seek again. Got

[09:08] this point. Now Deepseek and GPT are at

[09:12] the same point. Now let's give the final

[09:14] prompt and we'll know who will be the

[09:16] winner of this video. Deepseek 5 3.1 or

[09:20] GPT 5 Pro. Final test 3D solar system.

[09:24] Here's our last prompt. Generate an

[09:26] interactive 3D solar system using CSS 3D

[09:30] transforms in JavaScript. Include

[09:32] realistic planet orbits, clickable

[09:34] planets with information panels, zoom in

[09:36] and zoom out functionality with planet

[09:38] rotation animation. Let's give this

[09:40] prompt to both models. Okay, Deep Seek

[09:42] is finished. Let me copy the code and

[09:45] test it. And here's the output.

[09:48] The sun looks good, but the planets are

[09:50] kind of strange.

[09:51] We have zoom in andout features as well

[09:54] as a reset button. And the planet

[09:56] clickable function is not working, but

[09:58] overall it's looking decent.

[10:01] Now, let's test GPT5 Pro Code. Let me

[10:06] copy the code. And here's the output.

[10:09] This looks much better than DeepSeek for

[10:11] sure. The sun looks good here. and

[10:13] planet visuals are better than deepseek.

[10:16] It also has zoom in andout features and

[10:18] has asteroids in the outer layers. And

[10:21] one more thing this has is the planet

[10:23] clickable function which shows the

[10:24] information of that planet when you

[10:26] hover over it.

[10:28] So guys, I think GPT5 Pro clearly gets

[10:31] the point here. Final verdict and

[10:34] conclusion, GPT5 Pro model wins this

[10:37] test by one point. Deepseek is very

[10:40] cost- effective and in terms of value

[10:41] for money and effectiveness, Deepseek

[10:43] will win. But in this pure coding test,

[10:46] GPT won this time. Both models are great

[10:48] at coding and sometimes Deepseek is

[10:50] better than GPD5 Pro. But if you really

[10:53] ask me who's the winner, then I would

[10:55] say both are winners. But for today's

[10:57] video, in terms of benchmarking, GPT5

[11:01] Pro is the winner of this video. GPT5

[11:04] Pro sometimes gives exceptional

[11:07] front-end code that looks very good

[11:08] compared to Deepseek's basic generic

[11:11] websites that look very plain sometimes.

[11:13] For the next video, do comment below

[11:16] which model you want to test next. I'm

[11:18] thinking of bringing Claude 4.1 Opus

[11:21] thinking model and Kimmy model 2 for our

[11:23] next videos. Do let me know your

[11:25] thoughts. On this note, let's end this

[11:27] video here. If you haven't subscribed

[11:30] already, then subscribe to our channel.

[11:32] Many exciting videos are coming very

[11:34] soon. Thanks for watching and I'll see

[11:36] you in the next one.

[11:41] >> Through the wastelands, through the

[11:43] highways, till my shadow turns the sun

[11:46] raise. And on we

[11:51] [Music]

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