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OpenAI's GPT-6 Astra model autonomously completes Portal in 24 hours -- feat cost just $571 in tokens
Astra had to map 3D game spaces and understand the puzzles before it could plan solutions and succeed. An AI and LLM enthusiast has conducted an experiment where OpenAI's new GPT-6 Astra played through the entirety of Valve's Portal 3D puzzler game on its own. This seems like a remarkably progressive step forward for LLMs and a convincing demonstration of multimodal 'AI intelligence.' It wasn't that long ago AIs were losing at Atari 2600 chess. However, this puzzle gaming task resulted in 3,336 tool calls and a headline API cost of $571.18. CozyBlaze, the enthusiast, has since clarified that the costs were covered by their $200 Codex Pro subscription. The video above has Astra's thinking/pauses removed to make watching somewhat bearable. "The model controls Portal through MCP [Model Context Protocol] + a modified SourcePauseTool," explains CozyBlaze. "The game stays paused while the model thinks; once the model sends an input sequence, SPT unpauses and executes it." During the thinking time, the AI received screenshots and information about the player character position. After this, the game resumed, and Astra executed its planned moves and inputs. This is why the edited highlights reel is ~ 2 hours, but the full set of GPT-6 Astra Portal VOD streams adds up to ~24 hours. CozyBlaze is pragmatic about the achievement. They admit there are still many problems to solve, and this runthrough shouldn't be viewed as an AI benchmark. "But watching a general-purpose agent autonomously navigate and make it all the way through the game feels like a small glimpse of that original vision becoming real," they observe. That original vision is OpenAI's from way back in 2016, when an eventual goal of a single agent solving a variety of games was mentioned. If you want to see the inner workings of CozyBlaze's Portal Agent, it is available on GitHub. There are some instructions there for you to explore it or try it for yourself, too. GPT-6 Astra became OpenAI's flagship model earlier this month. OpenAI claims the new model offers "a new generation of intelligence," and "is state-of-the-art on computer use, browsing, software engineering, cybersecurity, science, and professional work." Expect to see more of Astra flexing its muscular gray matter in the coming days. Follow Tom's Hardware on Google News, or add us as a preferred source, to get our latest news, analysis, & reviews in your feeds.
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GPT-6 Astra just completed Portal, but it burned through $571.18 in tokens to do it
* GPT-6 Astra autonomously beat Portal, showing big LLM gameplay progress. * Gameplay looked aimbot-like; video edits removed pauses while the model 'thought.' * The run cost roughly $571.18 in API calls -- an impressive but expensive proof of progress. About a year and a half ago, I watched Claude try to beat a Pokémon game on the Twitch channel ClaudePlaysPokemon. Back then, Claude kept getting stuck on things, and it was mostly frustrating to watch him bumble around and undo progress. Now, GPT-6 Astra has shown how AI has evolved by beating Portal by itself, although it had to churn through $571.18 in API calls to do it. GPT-6 Astra manages to beat Portal and leaves its operator with the bill Quite a hefty bill, at that As spotted by VideoCardz, X user cozyblazex made a post announcing that they had watched GPT-6 Astra complete the hit Valve video gamePortal. If you're not sure what that is, GPT-6 Astra is OpenAI's latest, most powerful model yet, and the one the company hopes will bring the world of LLMs into the AGI era. I'm not sure about the AGI part, but at the very least, you can see it beat Portal in the video above. The motions are a bit jarring because it acts with perfect speed and accuracy, making it look like it's using an aimbot. Well, it's more like it is the aimbot. At any rate, the LLM didn't finish the game in 2 hours, as the video claims; the game was paused every time GPT-6 Astra had to think, and those bits had been cut out of the final video. Unfortunately, the venture did eat into the API calls quite a bit. Beating Portal cost cozyblazex a hefty $571.18 in tokens, which is probably not the most cost-effective way to beat a game. Regardless, it's a very cool feat, and it'll be interesting to see how LLMs evolve to play games in another year or two's time.
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OpenAI's GPT-6 Astra successfully completed Valve's Portal 3D puzzle game autonomously in 24 hours, processing 3,336 tool calls at a cost of $571.18 in tokens. The achievement demonstrates significant progress in AI gameplay capabilities, though the model required pauses between moves to process game states and plan solutions.
OpenAI's GPT-6 Astra has successfully completed Valve's Portal, a complex 3D puzzle game, entirely on its own in approximately 24 hours
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. AI enthusiast CozyBlaze conducted the experiment, demonstrating what many consider a significant leap in multimodal AI capabilities and general-purpose agents. The large language model had to map 3D game spaces, understand complex puzzles, and plan solutions before executing them, showcasing advanced spatial reasoning and problem-solving abilities that extend beyond text-based tasks1
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Source: Tom's Hardware
The model controlled Portal through the Model Context Protocol combined with a modified SourcePauseTool, a setup that allowed the game to pause while GPT-6 Astra processed information
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. During these thinking periods, the AI received screenshots and player character position data. Once it formulated a plan, the game resumed and Astra executed its planned moves with precision that appeared aimbot-like in speed and accuracy2
. The entire playthrough required 3,336 tool calls and generated an API cost of $571.18 in tokens1
. CozyBlaze later clarified these costs were covered under their $200 Codex Pro subscription1
. While the edited highlight video runs approximately 2 hours, the full gameplay with all thinking pauses removed totaled around 24 hours of processing time1
.This achievement marks substantial progress compared to earlier AI gaming attempts. About a year and a half ago, Claude struggled with basic tasks in Pokémon, frequently getting stuck and undoing progress on the Twitch channel ClaudePlaysPokemon
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. The contrast highlights how rapidly LLM capabilities have evolved. CozyBlaze acknowledged that while problems remain and this shouldn't be viewed as a definitive AI benchmark, watching a general-purpose agent autonomously navigate through an entire game represents a glimpse of OpenAI's original 2016 vision becoming reality—when the company mentioned an eventual goal of creating a single agent capable of solving a variety of games1
. The Portal Agent code is now available on GitHub for others to explore and experiment with1
.Related Stories
GPT-6 Astra became OpenAI's flagship model earlier this month, with the company claiming it represents a new generation of intelligence
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. OpenAI positions the model as state-of-the-art across multiple domains including computer use, browsing, software engineering, cybersecurity, science, and professional work1
. The company hopes GPT-6 Astra will bring the world of large language models closer to the AGI era2
. This Portal completion demonstrates the model's ability to handle complex spatial reasoning and sequential decision-making in real-time environments, capabilities that extend far beyond traditional text processing. Watch for more demonstrations of Astra's capabilities in software engineering and computer use tasks as developers continue testing its limits across different domains.Summarized by
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