¶1We have two brand new models from OpenAI, GPT6 Soul and Luna. And this comes on the same day that Anthropic dropped Opus 5.5 and just yesterday Grock dropped Grock 4.7. So this is a modelfilled week and we're going to check out this model together. When GPT 5.6 Luna had that 80% price drop, it became one of the most compelling models on the planet to use. extremely fast, extremely cheap, and still very high intelligence.
¶2And so now we get an updated version of what I consider to be my favorite model. Let's start with the pricing. So this is GPT 5.6 Soul versus GPT 6 Soul, a 50% price reduction. And Luna with an already 80% decrease previously gets another 50% decrease. So, we are at $2 per million input tokens and $10 per million output tokens for basically one step under the absolute frontier, which is Astra.
¶3We also have GPT6 Luna coming in at 10 cents per million input tokens, 50 cents per million output tokens. This pricing is incredible. the these are true workhorse models and Luna can probably take on 90 to 95% of all the tasks that you have to give it. It is a great model and as always as you're building stuff with GPT6 Soul or Luna you can publish it to the web so easily using here.now the sponsor of today's video. We use them like crazy at Forward Future and it is the easiest way for your agent to publish pretty much anything to the internet.
¶4Share it with other people, share it with other agents, keep it private for yourself. It's all easy and it's free. All you have to do is tell your agent to go to here now and install it and it'll know how to do the rest. Codeex, Claude Code, cursor, they all work. It's dead simple.
¶5And then after that, your agent will always know how to publish things on the web. It takes seconds to publish and get that link back. And it is seamless. It's so easy to use. Tell your agent to use here.
¶6Now, and thanks to them for sponsoring this video. This is Automation Bench. On the Yaxis, this is the score. Higher is better. On the Xaxis, this is the cost.
¶7Left to the left is better. That is lower cost. This is the money quadrant. This is where you are the best and the cheapest. I was actually expecting like a bigger jump, but let's see.
¶8At max effort for 5.6, we scored a 28.8 on automation bench. And then for GPT6 Soul, interestingly, extra high took the number one at 33%. But what we see here is Astra is still OpenAI's best model. And we now have a much cheaper version. It's not quite as good.
¶9Look at the soul right here, right? And then the the top model. So, if you need the absolute best answer, you are going to be paying for Astra. But if you want more of a workhorse model, it's right here. Now, here's the interesting bit.
¶10Here is where Luna came in. Luna is the worst of the three models, but you are paying a fraction of the price. Even at, look at this. At the loweffort setting, it, you know, has quite a low score, but it's extremely inexpensive. I mean, if you use it on max, you're getting above a 20% score on here, and you're paying less than 5 cents cost per task.
¶11Unreal. GPT6 Soul also exceeds Claude Fable 5.1 at far lower cost and even beats loweffort GPT6 Astra. We still see GPT6 Astra is the best, but look at Soul right behind it and pretty significantly less expensive. But here is Frontier Code. Once again, we're seeing Luna coming in very strong, especially Luna Max, 11cent cost per task, comparable with Soul Medium, 80 cents per task.
¶12Comparable with Astral Low, $1.70 per task. And now we have what I believe is the best, most accurate benchmark for determining how good a model is at aentic coding. And look at that. Unreal. GPT6 Luna Max.
¶1366.6% 22 cents cost per task. Phenomenal. Here's OSW World. Speaking of computer use, um, here's Luna doing pretty well. Definitely like significantly far behind actually.
¶14So, this gets a 53% versus a 73% for Astra. Luna vers Astra. All right. So, uh, I had Astra put together this graph so we can actually see GPT6, Soul, Luna, and Opus 5.5 all released on the same day on the same charts. Let's look.
¶15Here's what's interesting. Look at the delta in performance on Frontier Code between these three models. They're all off by about 6 to 7 percentage points. But if you look at the pricing for them, it's multiple times difference. We have 10 cents versus $2 verse $4.
¶16And this goes towards the narrative that paying for the absolute best answer is expensive. So availability GPT6 soul and 6 L are available in chat GPT work and codec starting today for all plus pro business enterprise and edu edu users. Free and go users can access GPT6 Luna in the desktop app. GPT6 Soul and Luna are out. Not only are they a very significant improvement across the board, but also in writing in general, you know it when you try it, quality, we are also permanently reducing the API price by 50%, making both of them viable for a ton of new use cases and making your usage go even further too, even on the subscriptions.
¶17Interesting that both Anthropic and OpenAI have reduced pricing on their new models today. Yes, it is interesting and I have some thoughts as to why. Um, when both of these companies are talking about pacing the frontier, this is what you get. You get efficiency, you get speed, you get price, but you don't get absolute raw power and intelligence. That is what we're seeing here.
¶18This is maybe the result of pacing the frontier. Now, that doesn't mean they're not building it internally, but that's what we're getting here. Fable and Astra were released recently. Typically how these model releases go is they release kind of the big foundational frontier model that is very expensive and then over time in the coming weeks and months after that release you start to get the more efficient models. you start to get the cheaper models, the more workhorse models, and probably either architecturally similar to those frontier models, the Astros and the Fables of the world, or possibly even distilled versions of them.
¶19So, that this is all expected and I'm very happy to see it. I just reviewed Opus 5.5 and you can go find that video right here and enjoy.