NEW Perplexity Computer Update is INSANE! (GPT 5.4 + Gemini 3.1 Pro)

New Perplexity computer update is insane. Perplexity just dropped something nobody saw coming. They now let you run GPT 5. 4, Claude Opus 4. 6, and Gemini 3. 1 Pro at the same time. Three of the smartest AI brains on the planet. One prompt, one answer. And today, I'm going to break the whole thing down for you. This changes everything. Let's get into it. So, here's what just happened.

Perplexity launched something called Model Council. And it's wild. Before this, every AI tool worked the same way. You type a prompt, one model reads it, one model answers it. Done. That's it. That's how chat GPT works. That's how Claude works. That's how Gemini works. One brain, one shot, one answer. And look, sometimes that answer is great, but sometimes it's wrong. Sometimes it makes stuff up. Sometimes it mixes things and you wouldn't even know cuz you only got one opinion. Now, think about this. What if instead of asking one AI, you asked three at the same time? And then a fourth AI looked at all three answers and picked the best parts from each one. That's exactly what Perplexity just did. That's model council. You type one prompt. It goes to GPT 5. 4, Claude Opus 4. 6, and Gemini 3. 1 Pro all at once. All three models think about your question. All three give their answer. Then an orchestrator model like a judge reads all three responses, compares them, finds where they agree, finds where they disagree, and builds you one final answer from the best of all three. That's not just an upgrade. That's a whole new way of using AI. And

here's why this matters more than you think. Every model has blind spots. GPT is amazing at reasoning and coding. Claude is incredible at planning and handling huge tasks. Gemini is a beast at research and working with big data. But none of them are perfect at everything. So when you only use one, you get one perspective, one set of strengths, one set of weaknesses. With model council, the weaknesses cancel out. If GPT gets something wrong, but Claude and Gemini get it right, the orchestrator catches that. If Gemini misses a detail, but GPT nails it, that detail still makes it into your final answer. It's like having three experts in a room instead of one. and a moderator making sure you get the best take. Let me give you a real example so this clicks. Say you ask build me a marketing strategy for a new AI startup. If you just ask chat GPT, you get a solid plan, good structure, good reasoning. If you just ask Claude, you get a really detailed plan. Great for long-term thinking, but maybe it over complicates things. If you just ask Gemini, you get a plan loaded with data and research, but maybe it's a bit dry and hard to act on. Now with model council you get all three plans and then the orchestrator pulls the best structure from Jeep, the best strategy depth from Claude and the best data from Gemini and gives you one answer that's better than any single model could do alone. That's the power of this. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every single comment, so make sure you drop one below. Seriously, he reads them all.

Now, let me break down the three models so you understand what's under the hood. First, GPT 5. 4. This is OpenAI's latest. It's incredible at reasoning. It's incredible at coding. It handles long, complex prompts really well. If you need something that thinks step by step and doesn't lose the plot halfway through, GPT 5. 4 is your go-to. Second, Claude Opus 4. 6. This is from Anthropic. It's built for agent tasks. That means it can handle really long multi-step work. Think big code bases. Think planning out entire projects. It can work with massive amounts of context up to a million tokens. That's like feeding it an entire book and it still keeps track of everything. Third, Gemini 3. 1 Pro. This is Google's model. It's a research machine, deep analysis, huge data sets, multimodal, meaning it can work with text, images, all of it. And because it's Google, it plugs right into that whole ecosystem. Search, docs, everything. So, you've got the best reasoning model, the best agent model, the best research model, all running on your one prompt at the same time. That's what Perplexity just gave you. Now

here's the part most people are sleeping on. You get to choose the orchestrator. The orchestrator is the model that takes all three answers and builds the final one. You pick which AI plays judge. So, if you want GPT to be the one synthesizing everything, you can do that. If you want Claude to be the judge, go for it. You're in control of how the final answer gets built. That's a level of customization nobody else is offering right now. And by the way, if you want to go even deeper with stuff like this and you want to learn how to use AI tools like Perplexity to actually scale your business and get more customers, check out the AI profit boardroom. Link is in the description. It's the best place to learn how to use AI automation to grow, especially with tools like Perplexity, GPT, Claude, all of it. The link is right there. Go check it out. Okay, so let's zoom out for a

second because I want you to see the bigger picture here. For the last 2 years, the entire AI race has been about one question. Who is the best model? Open AAI says it's them. Google says it's them. Anthropic says it's them. And they keep going back and forth. New model, benchmark, leaderboard, repeat. But Perplexity just flipped the script. They said, "We're not going to pick one winner. We're going to use all of them together. " That's a completely different game. The question is no longer who has the best model. The question is now orchestration? Who can take multiple AI brains and make them work as a team? And right now, perplexity is leading that charge. Think about where this goes next. Right now, it's three models, but what happens when it's 5 10 what happens when the orchestrator can automatically pick which models to use based on your question. Like, it sees you asked a coding question, so it sends it to the two best coding models and skips the rest. or it sees you asked a research question. So, it leans on Gemini and adds Claude for the long context stuff. That's where this is heading. Smart AI systems that build their own team of models for every single prompt. That's not science fiction. That's the next 12 months. And here's why you should care right now. Okay? If you're using AI for your business, for content, for research, for anything, you won't. You want the most accurate answer you can get. You don't want hallucinations. You don't want one model's blind spot messing up your work. Model council fixes that. Three models checking each other. An orchestrator pulling the best from each. It's like having a built-in fact checker and quality control system for free inside Perplexity. Let me walk

you through how to actually use this. Step one, open Plexity computer. Step two, turn on model council. You'll see the option right there. Step three, pick your models. Right now, it's GPT 5. 4, Claude Opus 4. 6, and Gemini 3. 1 Pro. Step four, choose your orchestrator model. Step five, type your prompt. Step six, watch all three models run at the same time. And then see the final combined answer. It's that simple. And when you see all three responses side by side and then the synthesized answer, it hits different. You can literally see where the models agree and where they don't. That alone is worth it. So let's recap. Perplexity launched model council. It runs three frontier AI models in parallel on every prompt. GPT 5. 4, four Claude Opus 4. 6 and Gemini 3. 1 Pro. An orchestrator model combines the best of all three into one answer. You pick the orchestrator. It reduces hallucinations. It gives you better, more accurate answers and it's a sign of where the entire AI industry is heading. Multimodel systems, AI teams, not just one chatbot. This is the future and it's here right now. Now, if you want to learn how to use tools like Perplexity's Model Council to actually grow your business and get more customers with AI automation, join the AI profit boardroom. It's the best community for learning how to put these AI tools to work for real results. Link is in the description and the comments. And if you want the full process, SOPs, and over a 100 AI use cases like this one, join the AI success lab links in the comments and description. and you'll get all the video notes from there, plus access to our community of 38,000 members who are crushing it with AI. Drop a comment below. Let me know what you think about Model Council. Are you going to try it? Julian reads every single one. I'll see you in the next