DeepSeek V4 Pro vs Claude Fable 5 vs Grok 4.6

Deepsea V4 Pro vs Claude Faber 5 vs Grok 4.6 3 frontier models all live right now and for the first time ever the gap between the most expensive one and the cheapest one is so thin on real work that picking wrong could cost you 50 times more than it should. By the end of this video you'll know exactly which model wins for each job, where each one falls apart and the one pattern that lets you use all three at once so you never pick wrong again. And there's one number in this comparison that almost nobody is talking about, it's not the intelligence score I actually show you when we get there. So DeepSea V4 Pro went full release on August 12th quietly, there was no launch video, no countdown, not even a tweet and they updated their pricing page and just let the models speak.

Grok 4.6 dropped a day earlier from XAI and Claude Faber 5 has been sitting at the top of nearly every leaderboard as the model everyone is chasing for months now. So we have three frontier level brains on the market at the same time, one is the smartest, one is the cheapest and one is the fastest riser and the answer to which one you should actually use is dependent on what you're actually doing and that's what this is about. So let's start with raw intelligence because that's where everyone starts. Claude Faber 5 is still the smartest model you can buy, that's not really in dispute.

On DeepSWE, a tough software engineering task, Faber leads DeepSea V4 Pro by about 7 points. On the full stack benchmark, Faber leads by about 6 on Humanity's last exam. With tools, Faber scored 63 against DeepSea 60. On Artificial Intelligence, the main independent testing group, Faber sits one point above Grok 4.6 on their intelligence index.

When the work is genuinely hard, like messy problems, deep reasoning, long complicated builds, Faber wins. Anthropic built the best brain and this week didn't really change that. And here's where it gets interesting. So if you look at how close the other two got, Grok 4.6 scored 61 on that same intelligence test.

One point behind Faber. Level of GPT 5.6. So, and here's the part that should make you sit up. One month ago, Grok 4.5 scored 56.

XAI jumped four, five points in about a month. Most labs take like three to six months to make a jump like that in one independent blind test suite. Grok 4.6 actually tied Fable 5 on overall score, tied it, and because it's cost so much less to run, it took the number one spot on that cost adjusted leaderboard. Grok 4.5 sat in 14th place on that same board a month earlier, 14th to first in one single update.

Then DeepSea on Terminal Bench 2.1, which tests how well a model can work inside a computer and finish real tasks, DeepSea V4 Pro scored 87.9. Fable 5 scored 88, one 10th of one point. On Automation Bench, DeepSea scored 31.8 against Fable's 29.1, so DeepSea actually won that one. Now, those DeepSea numbers come from DeepSea's own testing, so hold them loosely until independent testers finish confirming them, but the pattern across every benchmark, they published points in the same direction and agent work specifically DeepSea closed the gap to almost nothing between them.

Now, I said intelligence, Fable first, but the podium is crowded now. If intelligence was the only thing that mattered, this video would be like two minutes long. It's not, because we now get to the number one I told you about at the start, and it changes the whole comparison. So DeepSea V4 Pro costs roughly 23 times less than Fable 5 on input, about 57 times less on output.

Grok 4.6 sits in the middle, around half of what other frontier models charge, and some testers found it about a 10th of Claude's cost on output. But even that's not the number. The number is 276, because when an AI agent works on a task, it doesn't read your instructions once. It reads them over and over again, every single step.

So you want to think of an agent like a worker who checks the full job folder before every action. Open the folder, read everything, do one thing, open it again, read it again, do the next thing. That folder gets read hundreds of times. When the model rereads something it's already seen, that's called a cache hit.

And cache reads on DeepSea V4 Pro cost around 276 times less than cache reads on Fable 5 On open root, the DeepSea V4 Pro is showing a cache hit rate of about 92%. On open root, the DeepSea V4 Pro is showing a cache hit rate of around 92%, which means for agent work, the exact kind of work most of you want AI doing, this reduces the cost massively. So the headline says 57 times cheaper, but for long running agents, the real gap potentially could be bigger than that. That's a number that nobody's talking about, and it's the one that matters most if you run agents all day.

Now, DeepSea has warned of a significant price increase, so this could change, it could change completely or dramatically, but right now you can run agents all day on long horizon tasks without having to worry about costs right now. And people are already doing this at scale. So the number one app sending traffic to DeepSea V4 Pro on open root right now is Hermes Agent, the open source agent from this research. Over 2 billion tokens, Hermes users quietly made DeepSea the number one brain within days of release.

So if you're watching this and thinking, this is exactly what I want, agents comparing models, running my business work, but I wouldn't know where to start, this is what the AI Profit Boarding was built for. This week inside the AI Profit Boarding, we're running all three of these models head to head inside the AgentOS. That's our operating system where you can plug in all your agents, your Claude, Hermes, OpenClaude, swap the brain underneath without rebuilding anything. So when a comparison like this one shifts, you switch models in minutes, not weeks.

You get the AgentOS zip file, a 30-day roadmap for setting up video tutorials and daily updates as the new versions ship, plus four weekly coaching calls every week where you can ask live which of these three models fits your exact workflow. I've helped over 3,700 business owners inside there and plenty of them had never touched AI before joining. Link in the comments description or go to the AIProfitBoarding.com to get access. So we've covered brains and costs, but there's a third factor in this as well.

And honestly, it might decide more real-world outcomes than the other two combined, because a model isn't just a score, it's a thing you have to actually use. And this is where the three of them split completely. So Claude Fable 5 has the best home, Claude Code, the desktop apps, Cowork Anthropic built a full house around the model. You can hand Fable a long, messy job and the whole system keeps on track.

That polish is real and it's part of what you're paying for. Grok 4.6 does have a bit of a harness problem. A harness is just the app you use the model through. So Grok's options are scattered.

Cursor is good, but built for coding first. Grokbot is good, but it runs out of tokens quickly. And there's no single Grok app that really does everything the way Claude Setup does. So it's a frontier model without a finished wrapper, without a finished harness.

Now DeepSeek V4 Pro barely has a consumer wrapper at all. It's an API model. So it expects you to bring your own harness. That could be Hermes, it could be OpenCore, whatever agent system you run, which sounds like a weakness.

But if you already have an agent setup, it's actually the opposite because your setup is the harness. DeepSeek is just an extremely cheap brain. You drop inside it. Same goes for Grok.

The harness problem only hurts people who don't have their own system. For people who do, it disappears completely. Now let's talk about what each model uniquely does that the others can't. Because this is where which is best turns into best at what.

So Grok actually has one thing that no other model can copy. Real-time access to X. It's wired directly into the platform. There's no plugins.

There's no workarounds. If your business depends on knowing what people are talking about right now, and that could be trends, could be competitive research, what's just dropped recently, Grok pulls that live. Fable can't do that. DeepSeek can't do that.

For anyone doing content or marketing that's a genuine edge, Grok also generates images and also turns them into video, which the other two don't do natively. And it's fast. Roughly 100 tokens per second in testing. You can hand it a task and it just gets on with it.

Grok also did something in testing that matters more than any demo. So there's a trap test where models get 10 problems to fix and five of them are fake. Most models just invent answers for the fake ones. They make things up.

Grok 4.6 caught them. It said, this doesn't exist. And then moved on. Making things up is the number one reason people stopped trusting AI with real work.

So a model that admits when something isn't there is a model you can actually leave alone with a job. Databricks confirmed the same pattern on their Office QA benchmark. So reading reports, pulling numbers from files, making sense of messy data, Grok set the top score. It's office work, by the way.

That's not coding. So Fable's unique edge is the hardest work. When a task is long, ambiguous, high stakes, planning a whole campaign, untangling a complicated client problem, designing a system from scratch, Fable 5 is still the one you probably trust most. The seven point deep SWE lead isn't a rounding error.

When genuinely difficult multi-step work, that gap shows up as fewer mistakes and fewer restarts. Now DeepSeek's unique edge is volume. It's a mixture of experts model with 1.6 trillion total parameters, but only 49 billion active at any time. So if you picture a company with 1.6 trillion employees, well, only the relevant 49 billion show up for each task.

That's how it stays cheap. The model is engineered for it. And it's not a company selling below cost to grab market share. One million token context window, which is roughly 10 nodes at once, up to 384,000 tokens of output in one go is built to grind through enormous amounts of work without complaint.

But DeepSeek has three catches. You can't see images. So if your workflow depends on screenshots or reading documents as pictures, it's out. DeepSeek has reportedly said vision doesn't advance research goals they care about.

So don't wait for it. Second, DeepSeek actually posted a notice saying a significant price increase is coming across the whole API. No date amount. So today's pricing is real, but it probably won't stay that way.

That said, they'd have to raise prices many times over before the value on maths disappears. They know that. And third, DeepSeek's terms let them train on what you send through their official API. So other providers will host a model without that condition.

And OpenRouter says more are coming online soon, but day one, that's a trade off. Your work is sensitive. Client data, factor that in. So now let's answer the actual question.

Head to head, who wins? The honest answer is nobody wins at everything, and that's the most useful finding in this whole comparison, because a pattern the smartest operators have landed on doesn't pick one. It uses them all like a team. So for example, Fable is the planner.

It runs once. It designs the workflow. It makes the hard decisions. Reviews the final output.

Then you might pay top price, but only for the moments that deserve top price. DeepSeek is the workhorse. It runs thousands of times, research, drafting, sorting, monitoring, follow-ups. Three repetitive, high-volume tasks, routes through the brain that cost 57 times less with cash pricing that makes long agent runs much more affordable.

Grok is a specialist. Real-time market awareness through X. Documented data work where it set the top score. Image and video generation.

It's a value pick for everyday frontier work when you want quality close to Fable at a fraction of the price. So you could, for example, use DeepSeek for your agents. You could use Grok for marketing, and then you could use Fable 5 for designing systems like we built the AgentOS with it. Also bear in mind that Elon says Grok 4.7 is a few weeks away.

DeepSeek says they're chasing AGI and shipping relentlessly. They just jumped on their own deep SWE score from 12.8 in the April preview to 62.7 in this release, which is a 50 point leap on the same task. And bear in mind, like Anthropic will answer because Anthropic always answers. So this three-way contest is the new normal, and every round of it drives the cost of intelligence down further, which means every round of it makes your agents cheaper to run, whichever model you pick.

Claude is still the smartest model in the world of Fable 5, and to earn that, Grok 4.6 just proved XAI can reach the frontier in a single monthly jump with real-time data nobody else has. And DeepSeek V4 Pro just made frontier-adjacent intelligence nearly free for the work most businesses actually need. Now, if you want more training on this, come join us in the air at Profit Boarding. This month we're going deep on exactly this three-model split.

We've got coaching calls where we can walk you through routing your lead generation and client work between Fable, DeepSeek and Grok, and where you can bring your own setup and get it fixed live. You get daily step-by-step tutorials, including the plan with Fable, implement with DeepSeek pattern from this video, built out step-by-step, plus you get the full agent operating system where your Claude, Hermes, OpenClaw, and your agents run inside one dashboard with shared memory. And also, we'll walk you through all of this stuff as it lands. So for example, Grok 4.7 will be dropping soon, and you get a 30-day roadmap so you're never guessing what to do first.

You also get a prompt library covering these exact multi-model setups and a member map so you can find people near you already running all of these models in their businesses for support around the clock, because there's always somebody online. We've got over 3,700 business owners inside there, and many have started from zero with AI. Link in the comments description or go to theairprofitboarding.com. Three frontier models, one month, the price of intelligence just collapsed.

See you in the next one.