The Best AI Browsers (Paid & Free) — Which Ones Give You Access to Hundreds of Models?

The last two years have seen browsers evolve from passive windows into active AI platforms. Modern AI browsers blend search, chat, local models, and cloud services so you can ask, summarize, automate, and even run models locally without leaving the tab. But not all “AI browsers” are created equal — some give you access to just a couple of back-end models (e.g., GPT or Claude), while others expose large model marketplaces, local LLM support, or multi-vendor model-selection features that — together — open the door to hundreds of models.

Below I explain how to evaluate “AI model breadth” in a browser, explain which browsers (paid and free) currently give you the widest model access, and recommend which to pick depending on your needs. I’ll be transparent: as of today, no mainstream browser ships with 200+ built-in models out of the box, but several popular AI browsers and search platforms either (a) support dozens to hundreds of local model variants or (b) integrate with model marketplaces/cloud catalogs so users can choose from hundreds of models when you count all third-party integrations and variant builds. I’ll show where the “200+ models” idea is realistic — and how to actually get that many models via the browser + marketplace approach.

How to interpret “having more than 200 AI models”

When people talk about “a browser having 200 AI models” they usually mean one of three things:

1. Built-in model variety — the browser itself includes many built-in model backends (rare).
2. Local LLM support / local variants — the browser can load many local model builds (e.g., dozens of LLama/Vicuna/Mixtral variants). Opera’s developer stream, for example, added experimental support for ~150 local LLM variants. That’s not 200+, but it shows the pattern of browsers enabling many local models.
3. Marketplace / multi-source integrations — the browser hooks into APIs, marketplaces, or plugins (OpenAI, Anthropic, Hugging Face, Azure model catalog, You.com apps, etc.). If you count all accessible third-party models, the total can exceed 200 — but the browser itself doesn’t “ship” them: it’s a portal to them. Examples: Perplexity Pro and similar platforms let you pick from many advanced models; Microsoft’s Copilot and Copilot Studio now allow switching across multiple providers.

So, if your goal is practical access to 200+ models, focus on browsers that either (A) let you run many local model variants or (B) integrate with multi-model marketplaces/cloud catalogs.

Browsers & AI platforms that get you closest to 200+ models

Below are browsers and AI-first browsers that either already expose a very large number of model variants or act as gateways to large model catalogs. I separate them into Free and Paid / Premium categories, explain how they deliver model breadth, and list pros & cons.

Free options

1) Opera One / Opera (developer stream) — local LLM support

Opera made headlines by adding experimental support for a large number of local LLM variants — an initial rollout that exposed around 150 local model variants across ~50 families (Llama, Vicuna, Gemma, Mixtral, and others). That’s one of the most concrete demonstrations that a mainstream browser can host and manage many LLMs locally. Opera pairs that with online AI services (Aria) to cover cloud-backed assistants. If Opera expands its local model list or enables easy downloads from model repositories, the “200+” threshold becomes reachable by adding community/third-party variants.

Pros: strong local privacy option, experimental local LLM management, mainstream browser features.

Cons: local model management requires disk space/compute, developer-stream features are experimental and not always stable.

2) Perplexity (free tier with paid Pro) — multi-model integration

Perplexity is positioned as a multi-model research assistant: its platform integrates models from OpenAI, Anthropic and other providers, and the Pro tier explicitly lists the advanced models it uses. Perplexity’s approach is to let the engine pick the best model for a job and to expose several model choices in its UI. While Perplexity itself isn’t a traditional “browser” like Chrome, it acts as a browser-like AI search layer and is frequently used alongside regular browsers — it’s therefore relevant if your definition of “AI browser” is any browser-like interface that offers model choice.

Pros: polished search/chat experience, multiple backend models, citations.
Cons: accuracy criticisms exist; not a tabbed web browser in the traditional sense.

3) Brave + Brave Search (Leo)

Brave embeds an AI assistant called Leo and integrates Brave Search’s new “Answer with AI” engine. Brave’s approach favors privacy-first synthesis and allows developers to feed Brave Search results into custom models and tools via APIs. Brave doesn’t ship hundreds of models itself, but its API and ecosystem make connecting to other model catalogs straightforward — helpful if you want a privacy-first browser front-end that plugs into a broad model ecosystem.

Pros: privacy-first design, native assistant, developer APIs.
Cons: model breadth depends on integrations you add.

Paid / Premium options

4) Microsoft Edge / Microsoft 365 Copilot (paid tiers)

Microsoft has been rapidly expanding model choice inside its Copilot ecosystem. Recent announcements show Microsoft adding Anthropic models alongside OpenAI models in Microsoft 365 Copilot and Copilot Studio — and the product roadmap points toward a multi-model model-catalog approach (Azure + third-party). If you use Edge + Microsoft Copilot with business subscriptions and Copilot Studio, you can effectively access a very large number of enterprise-grade models via Azure and partner catalogs. When you include Azure-hosted models and downloads, the total crosses into the hundreds for enterprise users.

Pros: enterprise-grade, centralized model management, built into Edge.
Cons: paid enterprise subscription often required to unlock the full catalog.

5) You.com (paid tiers / enterprise)

You.com positions itself as an “all-in-one” AI platform where users can pick from many model “apps.” Historically their marketing shows access to multiple models and a growing apps marketplace; enterprise plans include richer access and customization. In practice, counting all You.com “apps” and supported backends can push the accessible model tally much higher than what any single vendor ships. If your goal is sheer model variety via a browser-like interface, You.com’s approach (apps + models) is a practical route.

Pros: model/app marketplace, enterprise offerings, document analysis features.
Cons: consumer app listings sometimes mention “20+ models” in mobile stores — actual model breadth depends on plan and API integrations.

6) Dia (The Browser Company) — AI-first browser (beta / paid features possible)

Dia (from The Browser Company, makers of Arc) is designed with AI at the core: chat with your tabs, summarize multiple sources, and stitch content together. Dia’s initial releases rely on best-of-breed cloud models; the company’s approach is to integrate model providers so the browser can pick or combine models as needed. While Dia doesn’t currently advertise a 200-model catalog, its architecture aims to be multi-model and extensible, so power users and enterprise builds could connect to large catalogs.

Pros: native AI-first UX, engineered around “chat with tabs.”
Cons: still early, model catalog depth depends on integrations and business features.

Practical ways to get to 200+ models via a browser

If you specifically want access to 200 or more distinct models, there are realistic approaches even if no single browser ships that many natively:

1. Use a browser that supports local LLMs + a model repository
   Opera’s local LLM support is a model for this. If you combine Opera’s local LLM manager and community repositories (Hugging Face, ModelZone, etc.), you can download dozens of variants. Add community forks and quantized builds and you can approach or exceed 200 model files (different parameter sizes, finetunes, tokenizers).

2. Connect to multi-provider marketplaces via Copilot Studio, Azure, or Hugging Face
   Microsoft’s Copilot + Azure model catalog and other provider marketplaces expose dozens to hundreds of hosted models. If you use Edge with Copilot Studio or a browser front-end that lets you pick Azure/Hugging Face models, the accessible catalog expands rapidly.

3. Use aggregator platforms (You.com, Perplexity Pro, other AI platforms)
   These platforms integrate multiple providers (OpenAI, Anthropic, in-house models, and open-source models). Counting every model across providers can easily cross 200 — but remember: the browser is the portal, these are separate model providers.

4. Self-host and connect via browser extensions
   Host LLMs locally or on private servers (using Llama, Mistral, Llama 3.x, Mixtral, etc.) and use a browser extension or local proxy to route requests. This is technical, but it gives you control over the exact models available.

Recommended picks (use-case driven)

• If you want the easiest path to many models with good UX (paid/enterprise): Microsoft Edge + Copilot Studio (enterprise). Microsoft’s model integrations and Azure catalog make it easiest for organizations to pick and mix models.

• If you want privacy-first local models (free & experimental): Opera One (developer stream) — try its local LLM experiments and mix in community models. It’s currently the strongest mainstream browser for local model experiments.

• If you want an AI-first browsing UX for productivity and writing (paid or freemium): Dia (The Browser Company) — a modern, focused AI browser built around writing and summarization; keep an eye on how they expose multi-model choice.

• If you want a model-agnostic research assistant (free/paid tiers): Perplexity or You.com — both integrate multiple back-end models and are built for research-style queries. These are better thought of as AI search browsers rather than full tabbed browsers.

What to check before committing (quick checklist)

• Model selection UI — Can you choose which provider/model to use per query? (Important for model diversity.)
• Local model support — Does the browser support local LLMs and variant loading?
• Marketplace/connectors — Are there built-in connectors to Azure, Hugging Face, OpenAI, Anthropic, etc.?
• Privacy & data routing — Where are queries sent? Locally, to providers, or both? (Crucial for sensitive data.)
• Cost / quota — If paid, how are model requests billed? (Some enterprise offerings charge per model or by compute.)
• Ease of installation — For local models, how easy is the download/quantization process?

Limitations and honest cautions

• Counting models is messy. “200 models” can mean 200 unique architectures, 200 parameter-size variants, 200 finetunes, or simply “access to 200 provider endpoints.” Be clear about which you mean.
• Quality vs quantity. Hundreds of models doesn’t guarantee better results. Often a small set of well-tuned, up-to-date models (e.g., GPT-4-class, Claude, Gemma) perform better than dozens of low-quality variants.
• Local models require compute. Running many local LLMs needs significant disk space, memory, and a decent GPU for large models.
• Trust & provenance. Multi-model aggregators can mix sources with different training data and safety practices. Validate critical outputs.

Final takeaways

• There’s no single mainstream browser that ships with 200+ built-in models yet — but there are practical ways to reach that number by combining local LLM support (Opera’s experimental local model feature), multi-model integrations (Perplexity, You.com), and enterprise model catalogs (Microsoft Azure & Copilot Studio). Opera’s developer stream showed a concrete example with ~150 local model variants, while Microsoft and Perplexity demonstrate the multi-provider route.

• If your requirement is access to 200+ distinct models (for research, benchmarking, or experimentation), pick a browser front-end that supports local LLMs + easy connectors to cloud and marketplace catalogs. That combo gives you the largest effective catalog.

• If your requirement is best results for real-world work, focus less on raw model count and more on model quality, safety, and the ability to choose the right model for the task (summarization, code, reasoning, creative writing). Here, paid enterprise integrations (Microsoft, some You.com enterprise features, Perplexity Pro) often give the best balance of quality and governance.