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I Tested GPT-5 and Qwen 3 Coder on Real Projects!

#AI Tools
2025-09-02 04:278 min read

Content Introduction

In this video, a detailed comparison is made between two AI coding models: Quen 3 and GPT5. The host performs deep testing of both models across various coding tasks, including creating 3D simulations. While Quen 3 is praised for its speed and efficiency, GPT5 faces issues, particularly with API limits, leading to slower performance. Ultimately, the demonstration shows Quen 3 completing tasks faster and at a lower cost, with the host noting that while GPT5 has its strengths, it struggles under certain conditions. The comparison highlights not only the performance of both models in practical applications but also discusses the potential for future challenges between different AI models.

Key Information

  • The video discusses a deep testing comparison between the Quen 3 coder and GPT-5 on coding tasks.
  • Quen 3 coder is presented as a less expensive alternative, costing $0.2 per million input tokens compared to GPT-5's $1.25.
  • The context window size for Quen 3 coder is 262,000, while GPT-5 has 400,000.
  • Various coding tasks are conducted, including creating a 3D neuron simulation and a Rubik's cube simulator.
  • Quen 3 coder is noted to perform tasks more efficiently and cost-effectively than GPT-5.
  • GPT-5 encounters errors such as API request failures and token limit issues, impacting its performance during tasks.
  • Augment Code is suggested as a potential solution for fixing issues encountered with GPT-5.
  • The video highlights the need to examine and improve the performance of both AI models through real-time testing.

Timeline Analysis

Content Keywords

GPD5

The video discusses the performance of GPD5 in comparison with Quen 3 coder for various coding tasks, including a deep testing and evaluation of their capabilities and costs.

Quen 3 Coder

Quen 3 coder is highlighted for its cost-effectiveness and faster performance in coding tasks compared to GPD5, making it a competitive alternative for programming needs.

AI Model Comparison

The video conducts a side-by-side comparison of coding outputs from both GPD5 and Quen 3, showcasing the differences in their approaches, performance, and costs associated with their usage.

Real-time Simulation

Real-time simulations are created using Quen 3 to demonstrate its capability to generate interactive 3D environments effectively.

API Integration

The process of using OpenAI API keys and integration for accessing GPD5 and Quen 3 is described, emphasizing potential issues with rate limiting in GPD5.

Coding Tasks

Multiple coding tasks are presented, including creating a mobile application and a Rubik's cube simulator, showcasing how both AI models handle these challenges.

Rate Limiting Issues

The video addresses issues related to rate limiting faced by GPD5 that hinder its performance and contrasts this with the quicker execution of Quen 3.

Error Handling

Instances of API request errors encountered while utilizing GPD5 are discussed, exploring the implications and necessary adjustments in the coding workflow.

Cost Efficiency

The cost efficiency of using Quen 3 coder is stressed, particularly its pricing relative to GPD5, providing insights on budget considerations for users.

Related questions&answers

What is the main purpose of this video?

The video is focused on performing a head-to-head comparison between Quen 3 coder and GPD5 on different coding tasks.

How much does Quen 3 coder cost compared to GPD5?

Quen 3 coder is approximately 10 times cheaper than GPD5.

What are the two coding tasks demonstrated in the video?

The tasks include creating an interactive 3D neuron and a 3D flocking simulation.

What issue did GPD5 encounter during the comparison?

GPD5 encountered an 'API request failed' error during the testing.

What was the outcome of the comparison between Quen 3 coder and GPD5?

Quen 3 coder completed the tasks more efficiently than GPD5, which faced several rate limiting issues.

What is the main difference in capabilities between Quen 3 coder and GPD5?

Quen 3 coder has proven to be quicker and more efficient at completing coding tasks compared to GPD5, especially when facing rate limitations.

What is noted about the performance of GPD5 in the second task?

GPD5 ultimately performed better in the second task but took significantly longer to complete compared to Quen 3 coder.

What suggestion is made for future comparisons?

The video suggests conducting more challenges between GPD5 and other models like Kim K2 or Claude Sonet 4.

What is encouraged at the end of the video?

Viewers are encouraged to subscribe to the YouTube channel and like the video.

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