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Can you Develop a Flutter Mobile APP in cline using GPT-OSS?

#AI Tools
2025-08-08 19:469 min read

Content Introduction

In this video, the presenter explores the capabilities of OpenAI's newly released GPD OSS, which has two variants: GPD OSS 120 billion parameters and GPD OSS 20 billion parameters. They demonstrate how to set up the model through Open Router, create an API key, and test its functionalities by developing a basic mobile application using Flutter. Throughout the demonstration, the presenter encounters errors related to API streaming and dependency updates, providing insights into troubleshooting and resolving these issues. The video highlights the overall cost-effectiveness of using the model, while also noting its limitations and the importance of using advanced AI models for better performance. Ultimately, viewers are encouraged to engage with the video through comments and feedback.

Key Information

  • OpenAI has released GPD OSS with two variants: GPD OSS 120 billion parameters and GPD OSS 20 billion parameters.
  • The video aims to test the capabilities of the model through client interactions using an API key.
  • The cost for using the model is $0.09 per million input tokens and $0.45 per million output tokens.
  • Users can download the model locally to run it on their computers using tools like LM Studio or VS Code.
  • The model is said to perform slowly on lower-end GPUs like the RTX 2070, with better performance expected from higher-end GPUs.
  • The video will demonstrate creating a budget management mobile application using the GPD OSS model.
  • The model's capabilities will be verified through prompts, leading to the generation of code for a functioning application.
  • Issues such as API streaming failures and need for proper installation of dependencies are noted during development.
  • The model struggles with generating complex tasks and is compared to better-performing models like Kim K2 and Quen 3.
  • Viewers are encouraged to comment with questions and are prompted to subscribe to the channel.

Timeline Analysis

Content Keywords

OpenAI GPD OSS

OpenAI has launched GPD OSS, featuring two variants: GPD OSS 120 billion parameters and GPDSS 20 billion parameters. This video aims to test the model's capabilities using an open router and API key.

API Key

The process includes creating an API key for open router, necessary for using the GPD model. The cost on open router is $0.09 per million input tokens and $0.45 per million output tokens.

LM Studio

Users can install the model locally on their computers using software like LM Studio; however, performance can be slow depending on the GPU, such as the RTX 2070.

Model Testing

The demonstration includes assessing if the model can effectively create a functional mobile application, specifically a budget management app using Flutter.

Error Handling

During the demo, several errors occur including API streaming failures. Solutions include creating new API keys and ensuring proper package installations.

Model Limitations

The GPD OSS model has limitations such as not supporting image inputs and browser usage. These limitations may challenge development, especially regarding error reporting.

Output Performance

While attempting to build a mobile app, the model showcases basic capabilities but is noted for being underwhelming in design aesthetics and functionality.

Testing Results

The conclusion of the video evaluates the performance of GPD OSS against competitor models, with observations on its functionality and suggestive improvements.

Future Developments

Expectations include developing more advanced functionalities in future iterations, possibly integrating more capable AI models to enhance performance.

Viewer Engagement

The presenter encourages viewers to subscribe to the channel and provide feedback in the comments section regarding the model and any queries.

Related questions&answers

What are the variants of GPD OSS released by OpenAI?

OpenAI has released two variants of GPD OSS: GPD OSS 120 billion parameters and GPDSS 20 billion parameters.

How can I test the capabilities of the GPD OSS model?

You can test the capabilities of the GPD OSS model by using it through an open router with an API key.

What are the costs associated with using the GPD OSS model on the open router?

It will cost you $0.09 per million input tokens and $0.45 per million output tokens on the open router.

Can I use the GPD OSS model locally on my computer?

Yes, you can download the GPD OSS model locally on your computer and use it with software like LM Studio.

What kind of GPU do I need to run GPD OSS smoothly?

For optimal performance, it's recommended to have a better GPU like RTX 4070, 4080, or 4090.

What is the cost-effectiveness of using GPD OSS for application development?

The cost is generally low at around $0.1 for executing tasks, but the effectiveness may vary based on the GPU capability.

How can I set up an API key for using GPD OSS?

To set up an API key, you need to sign up at openrouter.ai, create an API key, and provide it in your application.

What should I do if I encounter errors while using GPD OSS?

If you encounter errors, check your API key, ensure you're using a supported model, and inspect your prompt for any issues.

Is GPD OSS suitable for developing mobile applications?

Yes, GPD OSS can be used to develop mobile applications, but it may have limitations in handling complex tasks.

What alternatives are available if GPD OSS does not meet my needs?

If GPD OSS does not fit your requirements, you might consider using models like Kim K2 or Quen 3 for better performance.

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