Is ChatGPT 6 Astra Worth Using for Complex Work?

TL;DR

ChatGPT 6 Astra is presented as a substantial upgrade for long projects, interactive site creation, coding, and computer use. Its improved context retrieval and ability to accept corrections during tasks produced strong first drafts of games, websites, presentations, and 3D experiences, although complex Max-reasoning tasks were slow, expensive, and sometimes visually inaccurate or glitchy.

Transcript

Chat GPT Astra or Chat GPT 6 came out a few days ago and I've been testing it non-stop. So, I have ton of different examples to show you in this video and I also had Chat GPT put together this presentation with the new model to show you everything that is new with this model including things it could do inside of Chat GPT work for example. And I ac... Read More

Key Insights

• ChatGPT 6 Astra is described as a major practical upgrade because it retrieves information from long conversations more reliably. Although its context window remains at 1 million tokens, the cited retrieval result increased from 73% for the previous model to 96% for Astra.
• Computer use is presented as one of Astra’s strongest improvements. Earlier browser-based agents felt slow and unreliable to the presenter, while the new model handled Chrome, web applications, Blender, Unreal Engine, and other software with enough competence to support complex creative workflows.
• Mid-task correction is supported without forcing Astra to abandon completed work and restart. The model can incorporate new instructions while continuing from its existing progress, which makes iterative development more practical for long coding, design, and computer-use tasks.
• Astra’s API pricing is stated as $10 per million input tokens and $50 per million output tokens. The previous Sole model is listed at $4 and $20 respectively, making Astra substantially more expensive when used for large coding projects or elaborate outputs.
• Reasoning level strongly affects speed and credit consumption. Most demonstrations used Max reasoning, and some required more than an hour, while the presenter suggests high or medium reasoning for most tasks and notes that an Ultra setting was available but not tested.
• ChatGPT Sites can turn prompts into published interactive experiences. Astra produced playable games, animated graphics, navigable 3D scenes, historical and modern website designs, and educational simulations, often as usable first drafts that required no follow-up instructions.
• Generated results remain imperfect despite their visual quality. The Ultima 7 and Doom recreations were not pixel-perfect, the zoomable Earth was somewhat glitchy, and the Powers of Ten demonstration included an obvious image transition involving a hand.
• Model choice still depends on the task rather than a single overall ranking. Although Astra produced the presentation used by the presenter and reportedly beat Fable 5.1 across nearly every cited category, Claude and Gemini were still considered more useful in some situations.
• More videos from this channel:
  • How to use Gemini-powered Bard effectively for prompts
  • How to Use ChatGPT Codex for Everyday Work
  • How to Use ChatGPT 6 Astra for Better Work
• More from this channel: Skill Leap AI

Questions & Answers

Q: How well does ChatGPT 6 Astra remember long projects?

ChatGPT 6 Astra is described as substantially better at retrieving information from long projects within a single chat. Its context window is stated as 1 million tokens, which was not presented as an increase over the previous Sole model. The important improvement was retrieval performance, cited as rising from 73% with the previous model to 96% with Astra, making stored context more usable in practice.

Q: What can ChatGPT 6 Astra create with ChatGPT Sites?

ChatGPT 6 Astra can create and publish interactive experiences through ChatGPT Sites. The demonstrations included an Ultima 7-inspired role-playing game, a 3D solar system, a deeply zoomable Earth, historical and updated versions of the Space Jam website, a Powers of Ten simulation, and an interactive city. These projects included navigation, animation, controls, game logic, and other functional elements.

Q: Can ChatGPT 6 Astra control browsers and desktop applications?

ChatGPT 6 Astra is presented as the first model the presenter found genuinely effective for computer use and browser operation. It can open windows, work through Chrome and web applications, and use complex creative software. Examples shown or discussed included Blender for creating detailed 3D objects and scenes, plus Unreal Engine for building worlds associated with video game development.

Q: How accurate were Astra’s game and website recreations?

Astra’s recreations were functional and visually impressive, but they were not consistently pixel-perfect. The Ultima 7-inspired game used recognizable characters, dialogue, quests, and smooth movement, yet its appearance differed from the original. The Doom-inspired Codex project reproduced similar logic without matching every visual detail. The 1996 Space Jam website recreation captured its nostalgic style more successfully than earlier tests described by the presenter.

Q: Which reasoning level should be used with ChatGPT 6 Astra?

The presenter used Max reasoning for almost every showcased example, but recommends high or medium reasoning for most tasks because Max is extremely slow and consumes more credit. Some elaborate Max tasks took more than an hour. An Ultra level was also available but was not tested, while extra-high, high, medium, and a light option provided alternatives for balancing output quality, speed, and usage.

Q: How much does ChatGPT 6 Astra cost through the API?

The stated API price for Astra is $10 per million input tokens and $50 per million output tokens. For comparison, the Sole model is listed at $4 per million input tokens and $20 per million output tokens. The presenter warns that Astra can therefore be expensive for coding and other token-heavy work, although the highest-performing models commonly occupied this price range in the comparison discussed.

Q: What limitations appeared in the ChatGPT 6 Astra demonstrations?

The demonstrations revealed several limitations despite strong overall results. Game recreations were not pixel-perfect, the Earth experience became somewhat glitchy during deep zooming, and the Powers of Ten project visibly switched images around a hand. Max reasoning was also very slow, with some tasks taking more than an hour, and extensive business-plan testing exhausted the presenter’s available usage after only a few elaborate examples.

Q: Is ChatGPT 6 Astra better than Claude, Gemini, and Fable?

Astra is presented as outperforming Fable 5.1 in nearly every benchmark category discussed, including coding, and it produced a presentation the presenter preferred over a Claude-generated alternative. However, the presenter does not claim Astra is always the best choice. Claude and Gemini remain more useful for some cases, so the recommended model depends on the specific task, desired output, cost, and workflow.

Summary & Key Takeaways

• ChatGPT 6 Astra reportedly combines a 1 million-token context window with stronger retrieval, improving the model’s ability to retain and use information across long projects. The presenter cites retrieval rising from 73% to 96% and describes this improvement as more noticeable than the incremental gains offered by several previous model releases.

• The model created interactive sites, games, animated SVG graphics, and 3D experiences from prompts. Demonstrations included an Ultima 7-inspired game, a solar system, a zoomable Earth, two Space Jam website designs, a Powers of Ten experience, a city simulation, and a Doom-inspired project created through Codex.

• Astra also showed improved computer and application use, including demonstrations involving Blender and Unreal Engine. However, the results were not consistently pixel-perfect, some experiences contained visual glitches, and Max reasoning could take more than an hour. The presenter recommends lower reasoning settings for most ordinary tasks and comparing alternative AI models when appropriate.