Three frontier brains. One month. One routing rule.
Three frontier AI models are live right now, and they all just landed within about a day of each other.
One of them is the smartest money can buy.
One of them costs so little that you can leave it running all day and forget the meter exists.
One of them went from nowhere to the frontier in a single month.
I ran all three on my own bench and put the builds side by side, so you can see exactly where each one wins and where each one falls apart.
And there's one number in this comparison almost nobody is talking about. It isn't the intelligence score, and it decides everything.
What you're watching: one operator, three frontier brains, and every job going to the machine that should be doing it.
Grok's has light-gates and traffic to dodge, DeepSeek's is the widest track, Fable 5 goes hardest on the colour. Same one-line brief, one shot each.
Imagine hiring one person to do every job in your business.
They plan your strategy. They also type your data entry.
You pay senior rates for both.
That's what almost everyone does with AI right now.
One model, one subscription, every single task.
So the hard thinking and the mindless grinding cost you exactly the same.
And now that three frontier models are live at once, picking the wrong one for a job can cost you fifty times more than it should.
The Three-Brain Engine ends that for good.
Left: what most people do today. Right: the same jobs, sorted by which brain they actually need.
Grok's is the moodiest and by far the darkest, DeepSeek's corridor is the most readable, Fable 5 washes the whole screen red.
It's one setting, not three workflows.
You pick which brain answers, the same way you pick which staff member takes a job.
DeepSeek V4 Pro went full release on 12 August with no launch video and no countdown — they updated the pricing page and let the model speak. Grok 4.6 landed hours earlier, and Claude Fable 5 was already sitting at the top of nearly every leaderboard.
Three takes on 'steal cars, outrun cops'. Watch the speed readouts and the minimaps — all three wired a real driving model from one sentence.
This is the announcement itself — 16.9 million views. The key line is "at the same price" as Grok 4.5, and the thread underneath pins it down: two dollars per million in, six dollars out, which xAI calls half of what other frontier models charge.
That part isn't really in dispute. On the hard reasoning and long-build tests, Anthropic still holds the top of the table — and this week didn't change it.
DeepSWE numbers are each lab's own published figures. When the work is genuinely hard, Fable wins.
The test that really separates them: the hero models. A multi-part character with a cape and a drawn sword, versus a coloured shape with legs.
One month ago Grok 4.5 was sitting in thirteenth place on the blind-vote coding board. Grok 4.6 walked into the top seven and landed within nine points of Fable 5 — a jump most labs take three to six months to make.
Block worlds from one sentence. Terrain generation is where one-shot builds usually collapse into a black screen, so a lit walkable world is the bar.
This is Arena — real people voting on builds without knowing which model made them, which makes it the hardest kind of test to game. Grok 4.6 came in at 1618 against Fable 5's 1627. Watch the last line: they warn the picture will sharpen as more votes land.
On their own testing, DeepSeek V4 Pro nearly caught Fable 5 on agent work — and their DeepSWE score went from 12.8 in the April preview to 62.7 in this release. That's a fifty-point leap on the same test.
Terminal-Bench 2.1 from 72.1 to 87.9, CyberGym from 52.7 to 83.3, DeepSWE from 12.8 to 62.7. Note what Chris says at the end — every lab reports its own separate benchmarks, so he'd rather wait for the independent index. Hold that thought.
Cline builds one of the big AI coding agents, so they judge a model by what it costs to run all day. Their read: Fable 5 performance at roughly fifty-seven times cheaper, and the best price-to-performance model on the market. They had it live in their own product the same day.
Vals AI run their own evaluations, and their DeepSeek V4 Pro results published this morning tell a split story: the cheapness is completely real, and the agent-benchmark claim does not survive contact.
This is why you never buy a model on its own launch-day slide. The price claim survived. The agent score didn't.
Enemy waves, radar and hull damage in all three. The difference is the juice — trails, tracers, and how much the screen reacts when you hit something.
Read the fourth post down — that's the one that matters. Terminal Bench 2.1 at 54.68 percent, thirty-third of fifty-two, against the 87.9 percent DeepSeek published. But look at the rest of the thread too: their Proof Bench score went from 10 to 49, and it runs at seven cents a task against a rival's one dollar sixty-seven.
You don't trust any of them — you watch the same model do your kind of work.
That's exactly what I built the next section for.
Same prompt, same rules, one shot each, no hand-fixing — then a vision judge scored every build against the identical rubric. Click any tile and the real thing loads and runs in your browser.
first-person open-world fantasy explorer.
3D open-world RPG with combat, terrain, weather.
Minecraft-style sandbox, place + break blocks, day/night cycle.
torch-lit dungeon crawler.
synthwave horizon driving game with pseudo-3D road.
juicy arcade space shooter, waves, bosses, power-ups, screen-shake, synth music.
top-down RPG with sprites, combat, inventory.
classic arcade-style game (pick: tetris, breakout, snake).
fullscreen neon racer with vapor-trail particle effects.
third-person racing game with a track and obstacles.
put monsters in the raycaster maze and let them chase you.
cyberpunk neon-lit city you drive through.
take off, fly over terrain, full flight HUD, land on the runway.
jump from a plane, freefall, pull the chute, steer to land in a jungle clearing.
build a Wolfenstein-style 3D maze you can walk through.
Skyrim-style frozen open world, walk-into-the-snow, draw your sword. Julian's flagship deep-build prompt.
torch-lit Nordic dungeon crawler, ancient ruin to explore, first-person.
open-city driving sandbox: steal cars, outrun cops, traffic, wanted level, minimap.
air-combat shooter.
k is not defined. Neon City threw no error at all and still rendered no city. DeepSeek broke more often — five of nineteen — but differently: usually something half-finished rather than something hollow. Fable 5 broke nothing.
Skyrim — the job Grok blanked hardest, scoring 2.0 — is one of the three Fable scored a 9.0 on.
Torch-lit dungeons, three ways. Look at how each one handles light falloff — it's the whole mood of the level.
Games are just the hardest possible version of "follow a long brief without being reminded."
A model that forgets the world while drawing the dashboard will do the same thing to your report.
On the headline sticker price, DeepSeek is roughly 23 times cheaper than Fable 5 to read and 57 times cheaper to write. Grok sits in the middle at about half of what other frontier models charge. But none of those are the number that matters.
The headline says 57 times cheaper. For agents that run all day, the real gap is far bigger.
The third-person street brief. Ammo counters, pedestrians and a working minimap in all three — the gap is the lighting and how alive the street feels.
An agent doesn't read your instructions once. It reads the whole job folder again before every single action.
Open the folder, read everything, do one thing. Open it again, read it again, do the next thing — hundreds of times.
Freefall and canopy. The phase change — freefall into an open chute — is the part that catches models out.
"A Fable level model at one fiftieth of the API price, but with a much higher cache hit rate." That's the whole thing in one sentence. And read the reply underneath — someone says the cache hit rate is the part nobody talks about, and that it's what actually decides the bill. That's the number I just showed you.
You never do this maths — the setting does it.
All you need to know is that leaving an agent running all day stopped being a decision you have to think about.
If you're a freelancer, you can leave a research agent running on client work all day and stop watching the meter. If you sell online, your product descriptions and customer replies can run nonstop on frontier-adjacent intelligence.
The number one app sending traffic to DeepSeek V4 Pro on OpenRouter right now is Hermes Agent — the open-source agent from Nous Research — with over two billion tokens. The agents that quietly do real work in the background moved within days.
What you're watching: my own Agent OS with all three of these models wired in as engines — the same job handed to a different brain by changing one setting.
You can wire this yourself with everything on this page. Or get the whole thing done inside the Agent Operating System — all three of these models already plugged in, already routed.
Set up in an afternoon · used in 38 countries · new models added the week they ship
No — that's the biggest myth about it. The everyday ninety percent runs on a free local model on your own machine, nothing leaving it, and free APIs slot in for more.
For the frontier work it drives the CLIs you already pay for — your Claude subscription already includes the Claude CLI, and Agent OS plugs straight into it. It's a layer on top of what you already own, not a new meter. There are full token-efficiency tutorials inside the Boardroom too.
This is where the three of them split completely — and it might decide more real outcomes than intelligence and price combined.
DeepSeek expects you to bring your own harness. If you already run agents, your setup is the harness — DeepSeek is just a very cheap brain you drop inside it.
The deep-build prompt: walk into the snow, draw your sword. Watch how much world each one actually puts in front of you.
It's wired directly into X. No plugins, no workarounds — if your business depends on knowing what people are saying right now, Grok pulls that live. Fable can't. DeepSeek can't.
What you're watching: Grok 4.6's Outrun build from the arena, running live — 8.6, one of the five jobs it won outright.
There's a trap test where a model gets ten problems to fix, and five of them are fake.
Most models invent answers for the fake ones. Grok 4.6 said "this doesn't exist" and moved on.
Making things up is the number one reason people stop trusting AI with real work. A model that admits a gap is one you can leave alone with a job.
A track, a car and obstacles. The tell here is whether there's a real racing surface under the vehicle or just a coloured plane.
Databricks found the same pattern on their office-work benchmark — reading reports, pulling numbers out of files, making sense of messy data. Grok set the top score there. That's office work, not code.
Long, ambiguous, high-stakes jobs — planning a whole campaign, untangling a messy client problem, designing a system from nothing. That seven-point lead isn't a rounding error; on genuinely difficult multi-step work it shows up as fewer mistakes and fewer restarts.
What you're watching: Fable 5's Skyrim build from the arena — the 9.0, on the exact job Grok scored 2.0 on. This is what "follows a long brief without being reminded" looks like.
It has 1.6 trillion total parameters but only 49 billion switched on at any moment — picture a company with 1.6 trillion staff where only the relevant 49 billion turn up for each task. That's the engineering reason it's cheap, not a company selling below cost.
Take off, climb, bank a turn. Flight models are the single hardest thing to get right in one shot — watch the altitude and speed readouts.
What you're watching: DeepSeek V4 Pro's Neon City build from the arena, running live — it scored 8.6, its best of the run, and beat both other models on that job.
No vision at all. If your workflow depends on screenshots or reading documents as pictures, it's out — and DeepSeek have said vision doesn't advance the research they care about, so don't wait for it.
They've posted a notice about a significant increase across the whole API. No date, no amount. Today's pricing is real but not guaranteed — though they'd have to raise it many times over before the value maths flips.
That applies to the official API. Other providers host the model without that condition and more are coming online — but on day one, if your work is sensitive client data, factor it in.
You don't have to hand it anything sensitive to get the win.
Point it at the high-volume work that isn't confidential — research, drafting, sorting, monitoring — and keep the rest where it already is.
The pattern the smartest operators landed on doesn't pick one. It uses all three like a team, and each brain has exactly one job.
It designs the workflow, makes the hard calls, and reviews the final output. You pay top price — but only for the moments that deserve top price.
Research, drafting, sorting, monitoring, follow-ups. Every repetitive high-volume task routes to the brain that costs a fraction as much, with cache pricing that makes long runs almost free.
Live market awareness through X, document and data work where it set the top score, plus images and video. It's also the value pick when you want near-Fable quality at a fraction of the price.
The expensive model runs once. The cheap model runs ten thousand times. That's where the leverage lives.
Air combat with a radar and enemy fighters. Spawning somewhere survivable is half the battle in a one-shot build.
Fable designs your lead follow-up workflow once. DeepSeek runs it on every single lead, every day, forever. Grok watches your market in real time and feeds what it finds back in.
One session. It designs how a lead gets qualified, what gets said, when to follow up, and what a good reply looks like. You pay top rate once.
Every lead that arrives gets researched, drafted for and followed up by the cheap brain, running in the background all day.
It pulls what people are complaining about and what's landing right now, and hands that back so the messaging stays current instead of going stale.
At the end, the expensive brain checks the work and catches what the cheap one missed. Plan with the best, execute with the cheapest, review with the best.
Developers all over Hacker News described exactly this split last week. It works because the expensive model runs once and the cheap model runs ten thousand times.
Wrong: "Three models and routing tasks — this is for technical people."
Right: Look at what we actually covered. The Databricks test Grok topped was reading reports and pulling numbers out of files. The agents running DeepSeek take instructions in plain English sentences. If you can write an email, you can run this.
Wrong: "I already pay for one of these, why complicate it."
Right: If you run a handful of tasks a day, one model is genuinely fine. The moment you run agents in the background, you're paying frontier prices for work that doesn't need frontier intelligence. It's the same call every business makes about people — you don't put your most senior person on data entry.
Wrong: "It's moving too fast. I'll wait until it settles."
Right: In one hour last week DeepSeek V4 Pro went live, Grok 4.6 dropped, and Qwen released the weights for their 3.8 Max model. It isn't going to settle. But the chaos only hurts people without a system — the ones who had their setup running plugged Grok in the day it dropped and DeepSeek the day after. The models change monthly. Your setup doesn't.
Not one week. One hour. DeepSeek V4 Pro, Grok 4.6, and Qwen releasing the weights for their 3.8 Max model. This is the tweet to look at when you catch yourself thinking you'll wait until things calm down — there is no calm point coming.
Members post their wins every day — agency owners, ecom founders, course creators, solo operators across 38 countries. Real businesses, real numbers, in their own words.
Read the 158-page wins doc →Grok 4.7 is already trained. DeepSeek jumped their own DeepSWE score from 12.8 in the April preview to 62.7 in this release. Anthropic will answer, because Anthropic always answers.
Elon replying to a post saying Grok is back on the frontier menu. The detail that matters: initial training is already finished, and they're now feeding in a mass of SpaceX company data. This is the pace you're planning around — not a yearly cycle, a monthly one.
This three-way fight is the new normal. And every round of it drives the cost of intelligence down, which means every round makes your agents cheaper to run — whichever model you picked.
Smart-enough running all day beats brilliant running rarely.
And now you can afford both.
The models stopped being the bottleneck.
Knowing which brain to point at which job — that's the bottleneck now.
This page shows you the comparison. The Boardroom saves you the year it took me to build everything around it — and this month we're going deep on exactly this three-model split.
258 documented member wins · 38 countries · support around the clock · every new model added the week it ships
Three frontier models. One month.
The price of intelligence just collapsed.
And the only losers in this fight are the people with nowhere to plug the winners in.
See you in the next one.