GPT-6 Astra projects where you can test OpenAI’s new model

GPT-6 Astra is an exciting new model from OpenAI. Projects GPT-6 Astra Below helps you experience the above features and improvements New model of OpenAI.

The projects below are all viable options to test the capabilities of GPT-6. However, you need to be aware of issues such as access rights and token usage. GPT-6 Astra is rolling out to users on Plus, Pro, Business and Enterprise plans, so you may not have access right now.

Regarding token limits, depending on the subscription package, you have different limits: from 5–45 tokens for the Plus package, to 100–900 tokens for the Pro package (applicable for each 5-hour cycle).

GPT-6 is available via OpenAI’s API at a cost of $10 per million input tokens and $50 per million output tokens (the price doubles if you choose fast processing mode).

Automate actual web browsing tasks with the “Computer Use” feature

One of the significant improvements in this latest model is the “Computer Use” feature. This mode allows GPT-6 to control the computer to perform a series of tasks, such as navigating the browser, filling out forms, etc.

The example below from user The end result is truly impressive and shows the tool’s ability to offer a variety of options on its own.

Create 3D assets and scenes from reference images

Impressive examples of the GPT-6 Astra in the field of 3D modeling are not difficult to find. It seems to do the job very well.

Essentially, you need to feed the GPT-6 Astra with actual reference images to keep the results close to reality, rather than leaving the system free to “imaginate”.

Astra has the ability to coordinate specialized sub-agents to convert those images into assets in Blender software, then assemble into a complete scene using Three.js or Unreal Engine.

So a more feasible (and cost-effective) project would probably be to create a 3D model and animation source code based on a single reference image.

Build self-running applications with the /goal command

Creating “vibe coding” applications is not a new feature for large language models like GPT-6 Astra, but their ability to perform this task is becoming increasingly impressive. Fable 5.1 is already very effective, but Astra takes this capability to the next level.

By using command /goal you can give Astra a specific goal to achieve. The system will continuously work towards that goal throughout, essentially turning Astra into an autonomous AI agent.

Goal mode is useful because it forces Astra to keep working and tweaking the process until the desired result is achieved. For long-term tasks, Matt Shumer (from Manhattan projects) recommends using an “agent”manage” main to make a list of necessary jobs, then use the /goal command to assign the job to a separate “execution” agent to complete each part of that job.