Astra Landed, Fable Led - The Week the Scorecard Broke (and the calculator in your pocket).
With Jez Rowe and Cam Lynch
OpenAI and Anthropic launched new models days apart, and each declared itself ahead on its own scorecard. Jez and Cam check the independent index, pull apart the AGI claim, and land here: nobody has any loyalty to a model, the AGI talk is mostly marketing, and the real fix is routing that picks the right model for you.
What this episode answers
Should my business stick with one AI provider like ChatGPT or Claude?
No. Frontier AI models are now so commoditised that loyalty to one provider makes little sense. The lead swaps often. Anthropic surged ahead from around December 2025, then in June 2026 OpenAI launched much cheaper models and developers switched in big numbers. Pick by task instead. Some users rate OpenAI highly for speech and image creation but prefer other models for coding or finance work in Excel. Keep your options open and re-test regularly.
How should I compare the cost of AI models?
Compare AI models on how efficiently they reach a good outcome, not on their price per token. Tokens are the units of text a model reads and writes, and headline input and output prices for the top models look about the same. The real cost is how many tokens a model burns to actually solve your problem. A cheaper model that takes three attempts costs more. Judge on value, speed and quality together.
What does AGI actually mean?
OpenAI defines AGI, artificial general intelligence, as the ability to outperform humans at most economically valuable work. By that logic, a 1990s calculator was a narrow form of it, since no human could out-add one. When AI labs announce an AGI era, treat it as a sales pitch. The useful test is practical: does this connect more of your systems and make the work easier for a human to review and sign off?
Should a business build on frontier AI models or cheaper ones?
Build on frontier models, but don't scale on them. Frontier intelligence is too expensive to deliver at volume, and the big labs are squeezed by open source models and margins at the same time. Cam Lynch, founder of Vibe CFO, goes further: we'll look back on manually choosing models as absurd. Everyone picks the top model because they're unsure. Good routing should match each task to the right model automatically.
Is GPT-6 Astra better than Claude Fable 5.1?
Claude Fable 5.1 came out ahead on the independent Artificial Analysis index. In September 2026, OpenAI released GPT-6 Astra a couple of days after Anthropic released Claude Fable 5.1, and each company rated its own model ahead on its own scorecard. OpenAI president Greg Brockman greeted Astra with "welcome to the AGI era" but declined to define AGI. When labs mark their own homework, trust independent benchmarks over launch-day claims.
Episode notes
Two frontier models land inside 48 hours of each other. Claude Fable 5.1, then GPT-6 Astra. Both companies rate their own model ahead of the other, both on their own scorecard. The independent index puts Fable in front. Then OpenAI's president says welcome to the AGI era, and declines to define AGI.
That tells you where we are. These models are commoditised and nobody is loyal to any of them. Anthropic ran away with it late last year, OpenAI went cheap in June, developers switched en masse. Speech and images to OpenAI, coding and finance work to Anthropic, and you bounce between them all week.
Costs look similar on paper. The number that matters is how efficiently a model spends tokens to land a good answer. Two Ferrari builds side by side on socials, and the interesting column is what it cost to get there.
As for AGI, outperforming humans at valuable work is something a calculator did to all of us in the 90s. This reads as a sales pitch for frontier leadership with a bit of panic under it, open source coming up from below and margins getting squeezed. Build on frontier, don't scale on it. This week didn't change that.
Jez and Cam pull apart a scoreboard nobody should trust, and land on why choosing your own model will look ridiculous once routing gets good.
Five minutes. One thing that matters. We ignore the rest, so you can too.
Vibe CFO is Australian founded. An AI CFO for small and medium business, out of the box, governed and secure.
Vibe in 5.
Transcript
Read the full transcript
Ah, yet another big week in AI. This is The AI Exhale, hosted by Vibe CFO with Jez and Cam. Five minutes, one thing that matters, or maybe two. We ignore the rest so you can too.
Jez: OpenAI have come out with GPT-6 Astra. Just a couple of days before that, Anthropic released Claude Fable 5.1. Speaking on the OpenAI one, we had the company president, Greg Brockman, saying, welcome to the AGI era, and then declining to define exactly what AGI is. So let's give the audience a bit of an education on that. But the interesting part is that in both of those releases, each respective company has rated their model against the other. Where have they rated them? On their own scorecards.
So Anthropic said that theirs is ahead on intelligence power. And then equally, OpenAI has their own scorecard with Astra ahead. Now, what do we like? We like independent indexing, something we're going to do with our podcast, actually, now that we've done enough episodes. We're tracking nicely. And Artificial Analysis is actually putting Fable ahead.
Cam: What we're finding is that these frontier models are so commoditised. Nobody has any allegiance to any of them. If you tell the story for the past couple of years, let's say OpenAI was winning. And then around about December last year, Anthropic just started kicking butt and it went miles in front and everybody was coming past it. The annualised recurring monthly revenue just exploded, and it's going to have a bigger TAM and it's going to have a bigger IPO.
And then in June, OpenAI just launched some new models and went super, super cheap. And the developers, it was a monster switch. What does that tell you? It means that we just go looking forward. We don't have any allegiance really long-term, do we?
Jez: Yeah, no allegiance. That's for sure. We like to bounce between the two. But is there a differentiation?
Cam: I would personally go to OpenAI for speech. I would talk to it. I think it's exceptionally better. I would use OpenAI for creating images. I think it's exceptionally better. But I wouldn't use it for coding or finance work, like in Excel or anything, personally.
Jez: What about costings?
Cam: Well, costings, they're looking about the same. The one thing that's always forgotten is how efficient these tokens are. You just go, this is their best model and here's their input and output token costs. But which ones actually solve problems? I think you're starting to see that now on social media, where they go, here's a Ferrari model, and you watch them side by side. I don't know if you've seen that, and you go, which one looks better?
Jez: But also what they do, they do the price, right?
Cam: Because the actual price to make that Ferrari is the important point. It's not which one's smarter. It's which one efficiently uses tokens to get a better outcome as well, which I think we're coming into that sort of age now as well, of value, speed and quality.
Jez: Well, Ferrari is definitely quality. Cost effectiveness? They're known to just pour money in, but that's the beauty of the Italians, right?
Cam: Jez, what do you think AGI is? OpenAI define it as the ability to outperform humans at most economically valuable work. Because if you look back at a calculator in the 90s, that outperformed humans. We couldn't compete with it. That's a form of AGI in a subset of the machine, right?
Jez: Yeah. Oh, and I might say to that, I remember the teachers at school saying, you won't have a calculator in your pocket, so you've got to learn it. Well, we do. We have it on our phone. What I would answer, gut feel, is it's a big marketing spiel again. What we actually have here is a sales pitch of being the frontier model, which you're actually not.
So the product that came out later hasn't proven to be the one ahead. So again, it's a real transparent showcase of the fact that these guys are just competing for disruption and to get eyes on them. But yeah, in terms of that human cognitive capabilities piece, there is something in there. We hosted our webinar earlier today, one of our monthlies, where we talked about the human in the loop element, and we're going to remain true on that. So I think, harness what's there. If it does connect up more systems and makes my life easier, so that I can review and sign off, then that's of interest to me. But to me, it's a little bit of sales fluff.
Cam: It seems like it. And they've got every reason to. They should be in panic mode over two things. One, the open source movement, and two, the margins. I think lots of businesses now, whether you're a business or whether you're a SaaS selling to business, most people suggest that you build on the frontier, but you don't scale on the frontier. That's just too expensive, right? We can't give frontier intelligence at scale.
So yeah, I think that route of saying AGI is here and we're the leaders, and be careful with everything because you should be sticking with us, is obviously just marketing panic. They've got challenges on the frontier, but they've also got challenges at the open source level as well. They need to get better at routing. I think routing is still crap. I don't want to have to think what model. I reckon we're going to look back on this time of choosing our models.
It's absolutely stupid, because we just constantly choose the top model because we're not sure and we want the best answer. The routing should do that for us. And I think that they will eventually get there, where it's exceptional routing. That's our answer.
And that's your five-ish minutes back. Vibe CFO, Australian founded. An AI CFO for small and medium businesses, out of the box, governed and secure. vibecfo.ai. Now you know.
Now you know.
The AI Exhale is made by VibeCFO. Australian founded, an AI CFO for small and medium business, out of the box.
