OpenAI发布GPT-6 Astra，官方宣称进入AGI时代

Astra is an excellent model. The jump from Sol to Astra is larger than the jump from Fable 5 to Fable 5.1. This is a big deal.

Astra is the best model for what one would broadly call ‘ambitious projects,’ and likely has the highest raw intelligence factor of any model. These are the largest jumps.

It is amazing at doing things in 3D, or anything involving games. Astra also excels at computer use, and at subagent coordination.

Many benchmarks show dramatic jumps from all previous models. Where Astra is good, it can be in a league of its own.

That does not mean Astra is in its own league across the board. Fable 5.1 is still a Claude. Astra is still a GPT. If you have a strong preference for one over the other, that still applies. For many purposes, especially involving back-and-forth discussions, Fable 5.1 is still my top choice. Fable remains my primary editor.

If you want the best answer to your questions, you should ask both models.

Regular coding is getting less of a focus. Astra is not a quantum leap there, but of course it is very good and makes progress over Sol.

This is the first time a debate over whether a model ‘was AGI’ felt non-silly. I do not think it is AGI, and I would warn against the dangers of using that label prematurely, but I would not laugh at you for disagreeing.

This is also a strange situation in that OpenAI has already soft announced that they have an internal model a level above Astra, as I will cover when I address Navier-Stokes.

roon (OpenAI, September 3, 2026): I have not come close to discovering the limits of what Astra can do.

I imagine it’ll be obsolete in the order of weeks somehow.

roon (OpenA, September 9, 2026): it didn’t even take a week.

My recommendation is that you use both Fable 5.1 and Astra on your most difficult questions, and experiment to see which things each one does best for you.

Astra, Self-Portrait

Table of Contents

• Meanwhile.
• The Official Pitch.
• Our Price Cheap.
• Unnecessary Overstatement.
• Paced Rollout.
• Official Benchmarks.
• Other People’s Benchmarks.
• Thinking, Fast Without Slow.
• How Dare You, Sir.
• PoetryBench.
• In 3D.
• Time to Think.
• I’m Putting Together a Team.
• Reviews and Essays.
• Computer Use.
• Positive Reactions.
• AGI.
• Astra Can Do The Math.
• Astra Can Code.
• I Came to (Change the) Game.
• Astra Does Other Cool Things.
• Astra Never Quits Except When It Does.
• Negative Reactions.
• Stop It With the Hedging.
• Personality Clash.
• Revealed Preference.
• Dual Wielding.

Meanwhile

The backlog of things to discuss is not getting smaller, so I will take this moment to encourage everyone to read this excellent essay by Dario Amodei, We Must Pace the Frontier.

This is the core thing he calls for, including a unilateral commitment:

The steps are:

• Embedded Evaluators. Each frontier AI company commits to giving ongoing, employee-like access to a team of embedded third-party evaluators (such as METR), whose role is to verify adherence to safety practices and commitments, report incidents, and help assess the alignment of not just completed AI models but training pipelines and processes. This is the key step for verifiability of any pacing commitments, and has precedent in the banking industry, which sometimes involves regulatory “supervisors” embedded along with employees. Anthropic is unilaterally committing to this step now. We intend this to be part of a broader push to redouble efforts on our safety and alignment work.
• Democratic Coordination. Frontier AI companies within democratic countries coordinate to establish common safety standards as well as limits on the rate of unchecked AI progress. Some forms of coordination that would be impactful for pacing are legally challenging, and will require government support.
• Global Coordination. The US and other democratic governments attempt to coordinate with authoritarian governments, to the extent this is possible, while taking seriously the challenges of verifying compliance.

I will have full coverage of that next week. Along with that essay, the current queue includes at least that, Navier-Stokes and Astra-2, Anthropic’s Misalignment Report, Anthropic’s Countering Misuse, a thinkpiece on personal AI and the law, a post called Claude Talk, and Fable 5.1 (and Astra?) Model Welfare.

Okay, back to Astra.

The Official Pitch

The pitch is that this is AGI.

Greg Brockman (President, OpenAI): Welcome to the AGI era. ​

Axios: OpenAI says Astra can lay out a printed circuit board in KiCad, build a 3D city scene in Unity, create an animated automobile transmission in FreeCAD and Blender, and fill out a tax-return draft from a W-2.

In scientific work, the model helped improve a mathematical result on gaps between prime numbers and set new marks on several biology, chemistry, medical and physics evaluations.

Jensen Huang also calls it AGI, but he calls everything AGI.

The standard release video (3 min) has a stunning 125 million views on Twitter.

Dean W. Ball (OpenAI): Astra is a remarkable piece of technology. Earlier agents often tried to dampen my ambitions—they’d push me to do “pilots” or “proofs of concept.” Then agents started meeting my ambitions.

Astra is the first agent that routinely raises my ambitions. I encourage you to try it!

I think it is a very very good writer, in a “big model smell” kind of way.

roon (OpenAI): not to sound like a total shill but it’s the long weekend and all I want to do is make astrodynamical visualizations and stuff with Astra I have Astra psychosis

Tibo: Astra was probably our biggest competitive advantage while it wasn’t generally available.

Since we’ve had it our productivity jumped so much that we shifted some of our plans 6 months ahead and will ship them at DevDay instead of mid next year.

Dominik Kundel says Astra can do all the things in Codex: Use all your apps, do more of the product thinking, excel at Blender, impress you without Max thinking and keep checking its work. He is very impressed.

Here is the pitch from Astra itself, according to Pangram:

Sam Altman (CEO OpenAI): GPT-6 Astra is here. We hope it will begin to enable a new generation of entrepreneurship, scientific discovery, and building.

We believe it is the best model in the world for computer use, professional work, science, coding, cybersecurity, and more. It took us some extra time to ensure that we could meet the safety and alignment standards required for this capability level, but we think you’ll find it worth the wait.

It scores 98% on FrontierMath Tier 4, 99.9% on ARC-AGI 3, and 100% on ExploitBench.

Dr. Parik Patel, BA, CFA, ACCA Esq (top reply): I can’t wait to use this model to draft an email

Mark Chen: GPT-6 Astra is here! This is a big moment for our research team – years of work on pretraining, reinforcement learning, and post-training have come together in our most capable and aligned model yet. It can build and test software, work across apps on your computer, and even help you take a crack at open scientific problems!

Capabilities that felt like grand challenges a few years ago have become tools people can actually use. One example is Computer Use – if you’ve tried this before and felt like it was too slow or not good enough, I encourage you to give it another shot. We’ve come a long way since Operator, and it “just works” now.

We’re also asking these systems to act on your behalf for more consequential work. Agents needs to stay aligned with your goals and values, think transparently, and respond to oversight even when tasks become difficult. We’ve made substantial progress on these behaviors in Astra, alongside stronger monitoring that can stop potentially unauthorized actions. That work is part of what makes this release possible.