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Is QWEN 3 MAX Worth $6 Per Million Tokens? (RIP CHATGPT-5)

#AI Tools
2025-10-24 15:448 min read

Content Introduction
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The video discusses the release of Quen 3 Max, highlighting its significant increase in cost compared to previous models ($6 per million output tokens). It also emphasizes the advanced reasoning capabilities of this model, which supports around 100 languages and is optimized for retrieval-augmented generation (RAG). The presenter conducts coding tests using Quen 3 Max, demonstrating its effectiveness in tasks such as creating an HTML file and a simple autoplay chess game. While the model successfully completes the first task, subsequent attempts at more complex tasks, such as a 3D Rubik's cube simulation, reveal some errors and limitations in error handling capabilities. The presenter expresses overall disappointment with its performance, particularly in comparison to prior models, and concludes by urging viewers to share their thoughts on this new AI model.

Key Information

  • Quen 3 Max has been released, and it is significantly more expensive than its predecessor, costing $6 per million output tokens.
  • It supports around 100 languages and is optimized for retrieval augmented generation.
  • The model was tested for coding tasks, including creating an autoplay chess game and a 3D Rubik's cube simulation.
  • While the chess game creation was successful, the Rubik's cube task encountered errors related to the 3.js library.
  • The model's performance has been described as not very impressive, especially in comparison to other established models.
  • Overall, while Quen 3 Max can perform basic coding tasks, it doesn't compete strongly with other top models.

Timeline Analysis

Content Keywords

Quen 3 Max

Quen 3 Max is a newly released AI model known for its significant improvements over previous versions. This model is notably more expensive, costing $6 per million output tokens, compared to other models which are cheaper and perform similar tasks.

cost comparison

The pricing comparison highlights that while Quen 3 Max is more expensive, it claims to offer major improvements in tasks such as reasoning and supporting multiple languages.

coding tasks

The video illustrates the use of Quen 3 Max for coding tasks, including its ability to generate HTML files and games like an autoplay chess game. It references the performance of alternative models and their limitations in specific tasks.

AI performance

An overview is provided regarding Quen 3 Max's efficiency at handling errors and generating outputs. While it demonstrates competence in basic coding tasks, there are criticisms regarding its performance in more complex scenarios.

error handling

The AI model's effectiveness in error handling is critically assessed throughout the video, noting that it sometimes produces multiple types of errors, complicating its reliability.

project creation

In the latter part of the video, the user attempts to create a detailed landing page using the AI model, which includes generating HTML, CSS, and JS files.

model comparison

The speaker compares Quen 3 Max with other models like Cloud Solid 4 and discusses their strengths and weaknesses, concluding with preferences based on personal experiences.

Related questions&answers

What is Quen 3 Max and how much does it cost?

Quen 3 Max is a newly released model that costs $6 per million output tokens, making it significantly more expensive than previous versions.

How does Quen 3 Max compare to the 235B model?

The Quen 3 235B model has a similar context window but costs only $0.312 per million output tokens, which is much cheaper than Quen 3 Max.

What improvements does Quen 3 Max have?

Quen 3 Max has major improvements in reasoning and supports around 100 languages, optimized for retrieval augmented generation (RAG).

What types of coding tasks can Quen 3 Max perform?

Quen 3 Max is proficient in coding tasks, as demonstrated by creating an HTML file and other coding projects.

Can Quen 3 Max create advanced projects?

While it can create various projects, it struggled with complex tasks like 3D simulations and specific JavaScript libraries, indicating some limitations.

How does Quen 3 Max handle errors?

Quen 3 Max has shown issues with error handling, producing different types of errors during the project trials including type and reference errors.

What is the significance of using different AI models in coding?

Different AI models can yield varied results in performance and capabilities. Quen 3 Max, while advanced, does not consistently outperform other models like cloud solid versions.

How should one assess the effectiveness of Quen 3 Max?

It's advisable to test Quen 3 Max on a variety of use cases before making a decision on its overall effectiveness in comparison to other models.

What are some personal preferences regarding AI models mentioned?

The speaker expresses a preference for cloud solid versions as their favorite AI models, mentioning both cloud 4 and 4.1.

What feedback does the speaker want from the audience?

The speaker invites the audience to share their thoughts about the new AI model in the comments section of the video.

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