Perplexity Just Became Unavoidable: 800 Million Samsung Devices, Model Council, and the End of Single-AI Assistants

In one week, Perplexity secured system-level access to Samsung's flagship phones, launched multi-model research that makes AI more reliable, and released embeddings that outperform Google. This is how you win the AI race.

"Hey Plex."

That's all you'll need to say to activate Perplexity on Samsung's Galaxy S26—the phone launching March 11, 2026, that Samsung is billing as the world's first "agentic AI phone."

Not "Hey Google." Not "Hey Siri." Not even "Hi Bixby" (though that works too).

"Hey Plex."

This isn't a partnership where Perplexity gets a preloaded app icon. This is system-level OS access—the first time Samsung has granted that privilege to any company that isn't Samsung or Google. Perplexity can read and write to Samsung Notes, Calendar, Gallery, Clock, and Reminders without users switching apps. It powers Samsung's redesigned Bixby assistant behind the scenes. And it's coming preinstalled on 800 million devices in 2026.

Add to that: Perplexity just launched Model Council (run three frontier models simultaneously and compare outputs), upgraded Deep Research to state-of-the-art performance using Claude Opus 4.6, released embedding models that outperform Google's, and announced Ask 2026—their first developer conference in San Francisco.

In one week, Perplexity went from "interesting search alternative" to "unavoidable AI platform."

Let's break down what just happened.

The Samsung Deal: System-Level Access to 800 Million Devices The Galaxy S26 partnership isn't just big—it's historic.

Samsung ships over 300 million phones annually. The S26 series alone will reach hundreds of millions of users. Every single device will have Perplexity built in at the OS level, accessible three ways:

1*Voice activation: "Hey Plex" triggers Perplexity's assistant 

2*Button press: Long-press the side button (same as Gemini) 

3*App integration: Deep hooks into Samsung's core apps 

This is not like downloading an app from the Play Store. Perplexity has read/write permissions to native Samsung apps. You can ask a question, get a sourced answer, and have it automatically saved to Samsung Notes—without leaving the conversation. Set a reminder mid-query. Add calendar events. Search your Gallery. All seamlessly integrated.

What Makes This Different from Google's Integration 

Google has had system-level access to Samsung devices for years through Android. But Google's integration is built around Search and Assistant—tools designed for quick lookups and commands, not extended research or complex reasoning.

Perplexity brings something different: conversational search with citations, multi-step reasoning, and research depth that Google Search doesn't offer and Google Assistant can't match.

Dmitry Shevelenko, Perplexity's Chief Business Officer, frames this as the end of the "single walled-garden assistant." He told press: "The Galaxy S26 was built from the ground up to support an open ecosystem where different AI models can work together at the system level."

Translation: Samsung is pioneering multi-agent OS design, where users choose which AI handles which tasks rather than being locked into one provider's ecosystem.

The Bixby Connection: APIs Under the Hood

 Here's the part that's flying under the radar: Perplexity's Sonar API powers Samsung's redesigned Bixby for complex, web-based, or generative queries.

Bixby handles on-device actions (changing settings, launching apps, controlling hardware). But when users ask research questions, request information, or need web-based intelligence? Bixby routes those queries to Perplexity in the background.

So even users who never activate "Hey Plex" are still using Perplexity. The queries just flow through Bixby's interface.

This architectural choice gives Perplexity massive reach. It's not competing for users' attention—it's becoming invisible infrastructure.

Part 2: Samsung Internet Browser 

The partnership extends beyond the assistant. Samsung will integrate Perplexity's APIs into Samsung Internet Browser (used by hundreds of millions globally) for browser control and intelligent search.

Users will be able to set Perplexity as the default search engine, similar to how Mozilla Firefox lets you choose providers. And Samsung's browser will incorporate "Ask AI" features powered by Perplexity's Comet browser technology—enabling users to synthesize research across multiple tabs through conversational queries.

Instead of copying and pasting between windows, the browser aggregates findings into AI-generated responses.

What This Means for the Competitive Landscape Perplexity now has distribution that rivals Google Search. Not in raw numbers (Google still dominates), but in strategic positioning.

Apple has Siri + ChatGPT integration 

Google has Search + Gemini 

Microsoft has Bing + Copilot 

Samsung has... Google, Bixby, and Perplexity 

Samsung explicitly designed the S26 to support multiple AI agents simultaneously. Internal data shows 8 in 10 people already use multiple AI assistants daily. Samsung is productizing that behavior at the device level.

And Samsung executives are already teasing: "There's possibility for another partner to join the ecosystem."

Claude? Grok? DeepSeek? The multi-agent era is here, and Samsung just built the first OS designed for it.

Model Council: Run Three AIs at Once, Get Better Answers 

While the Samsung news dominated headlines, Perplexity quietly launched one of the most important AI research features of 2026: Model Council.

Here's the concept: Instead of choosing one AI model and hoping it's good at your task, Model Council runs your query across three frontier models simultaneously—Claude Opus 4.6, GPT-5.2, and Gemini 3.0—then synthesizes their outputs into one answer.

You see where the models agree, where they differ, and where they're uncertain.

Why This Matters: Model Performance Is Task-Dependent

 Perplexity's internal data shows what many power users already suspected: no single model dominates across all query types.

What's best for coding tasks is often suboptimal for research. What excels at creative writing might struggle with financial analysis. Model strengths vary by domain, and betting on one model means accepting its blind spots.

Model Council solves this by making comparison and synthesis the default workflow rather than an afterthought.

How It Works

 When you select Model Council in Perplexity's web interface, your query runs in parallel across three models. A synthesizer model (likely Claude or GPT) reviews the outputs, resolves conflicts where possible, and presents:

1*Consensus answers where models agree 

2*Divergent perspectives where models differ 

3*Confidence signals based on agreement patterns 

If three strong models converge on the same conclusion, you can proceed with confidence. If they diverge, you know to dig deeper.

Use Cases That Benefit Most Investment research: Get balanced views on stocks, markets, or financial decisions where model bias could be costly.

Complex decisions: Evaluate options for major purchases, career moves, or strategic choices with input from multiple reasoning approaches.

Verification: Test whether frontier models corroborate a claim, challenge it, or reframe it.

Model Council is only available to Perplexity Max subscribers on web (for now), but it represents where AI research is heading: multi-model orchestration as default.

Deep Research Upgrade: State-of-the-Art Performance with Opus 4.6 

Perplexity's Deep Research feature—which conducts extended multi-step research on complex topics—just got a major upgrade.

Previously running on Claude Opus 4.5, Deep Research now uses Claude Opus 4.6 (the latest reasoning model from Anthropic) and achieves state-of-the-art performance on external benchmarks:

Google DeepMind Deep Search QA Scale AI Research Rubric Perplexity claims Deep Research now outperforms other deep research tools (including Google's DeepMind search products) on accuracy and reliability.

What Changed Under the Hood The upgrade pairs Opus 4.6 with Perplexity's proprietary search engine and sandbox infrastructure. This combination enables:

Multi-step reasoning: Breaking complex queries into sub-questions, researching each, then synthesizing findings Source verification: Cross-referencing claims across multiple authoritative sources Structured output: Presenting research in organized sections with citations

Perplexity also integrated Deep Research with enhanced memory—the system now recalls relevant personalized context from past conversations in 95% of cases (up from 77%), dramatically improving continuity across research sessions.

Rollout Schedule Available now: Max users Coming soon: Pro users (rolling out gradually) The upgrade positions Deep Research as Perplexity's premium differentiator. While ChatGPT and Gemini offer similar search capabilities, none match the depth, citation quality, and multi-step reasoning Perplexity delivers for complex research tasks.

Embedding Models That Outperform Google On February 26, 2026, Perplexity released pplx-embed-v1 and pplx-embed-context-v1—two state-of-the-art text embedding models designed for real-world, web-scale retrieval.

These models power semantic search, document retrieval, and recommendation systems. And according to benchmarks, they outperform Google's embedding models on multilingual, contextual, and real-world retrieval tasks.

What Makes Them Special Native quantization: INT8 and binary quantization reduce storage by 4x and 32x compared to standard FP32, crucial for organizations operating at web scale.

No instruction prefixes required: Simplifies deployment and avoids common pitfalls in production systems.

Multiple sizes: 0.6B (optimized for speed) and 4B (optimized for quality) parameter variants available.

Open access: Released on Hugging Face under MIT License and available via Perplexity's API.

The 4B binary model maintains high retrieval accuracy while dramatically reducing storage demands—a key advantage for enterprises with massive document collections.

Why This Matters Beyond Perplexity Embedding models power RAG (retrieval-augmented generation) systems, where AI pulls relevant documents before generating responses. Better embeddings mean better retrieval, which means more accurate, more grounded AI outputs.

By open-sourcing these models and offering them via API, Perplexity is positioning itself as infrastructure provider for the next generation of AI applications—not just a consumer search product.

Ask 2026: The First Perplexity Developer Conference Perplexity announced Ask 2026—their first developer conference—happening in San Francisco.

The event will showcase:

Perplexity's API platform (already integrated into hundreds of millions of Samsung devices and 6 of the Magnificent 7 tech companies) New developer tools and partnerships Technical deep dives from Perplexity founders Networking with top developers building on Perplexity's infrastructure Perplexity is reserving seats for "standout devs who aren't yet on our radar" and accepting applications.

The conference signals Perplexity's strategic shift from consumer product to AI platform—competing not just with Google Search, but with OpenAI's API, Anthropic's Claude, and Microsoft's Azure AI services.

The Broader Strategy: From Search Engine to AI Platform Step back and look at what Perplexity accomplished in one week:

Distribution: 800M Samsung devices with system-level access Product: Model Council for multi-model research Technology: State-of-the-art Deep Research and embeddings Developer ecosystem: First conference to build platform momentum

This isn't a search engine strategy. This is an AI platform play targeting three layers:

1. Consumer Layer (Samsung partnership) Perplexity becomes default AI infrastructure for hundreds of millions of users who may never know they're using it (Bixby backend) or actively choose it ("Hey Plex").

2. Enterprise Layer (API platform) Perplexity APIs power intelligent search, research, and reasoning for companies building AI products. Embeddings, search, and multi-model orchestration as infrastructure.

3. Developer Layer (Ask conference) Building a community of developers who integrate Perplexity into their applications, creating network effects and ecosystem lock-in.

What Comes Next Perplexity's February 2026 blitz raises obvious questions about what's coming:

Will other phone manufacturers follow Samsung's lead? If multi-agent OS design proves successful, expect Apple, Google Pixel, and others to open their platforms similarly.

Which AI company joins the Samsung ecosystem next? Samsung explicitly teased "possibility for another partner." Claude? Grok? The race is on.

Can Perplexity scale Model Council beyond Max users? Running three models per query is expensive. Expanding access requires infrastructure and pricing innovation.

What happens at Ask 2026? Developer conferences matter. OpenAI's DevDay announcements consistently move markets. Perplexity's first conference could reveal partnerships, tools, and strategies we haven't seen yet.

The bottom line: Perplexity just secured the distribution, product differentiation, and developer momentum to become unavoidable in AI.

Not through better search results (though those matter). Through strategic positioning at every layer: consumer devices, enterprise APIs, and developer ecosystems.

When "Hey Plex" becomes muscle memory for hundreds of millions of Samsung users, when enterprises rely on Perplexity embeddings for retrieval, when developers build on Perplexity's infrastructure—that's when a company stops being "interesting" and starts being essential.

We just watched that transition happen in real-time.

The question isn't whether Perplexity will succeed. It's whether anyone can catch them now that they've got Samsung, Model Council, state-of-the-art research, and the embedding models Google wishes it had.

The AI search wars just got a lot more interesting.