# Ollama vs Scalebrowser

Ollama records 9,421,973 monthly visits with +4.3% month-over-month growth and Free, Freemium, Paid pricing. Scalebrowser records 161,955 monthly visits with +212.7% growth and Free Trial, Paid pricing.

| Metric | [Ollama](https://openaitools.app/tool/ollama) | [Scalebrowser](https://openaitools.app/tool/scalebrowser) |
| :--- | :--- | :--- |
| Website URL | https://ollama.com | https://scalebrowser.net |
| Categories | Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | AI Browsers, AI Agent, AI Developer Tools, AI API |
| Pricing Model | Free, Freemium, Paid | Free Trial, Paid |
| Monthly Visits | 9,421,973 | 161,955 |
| MoM Growth Rate | +4.3% | +212.7% |
| Primary Market | China | Global |
| Direct Visits | 4,020,134 | 65,234 |
| Review Score | 4.8 | 4.7 |
| Saved Count | 0 | 0 |
| Supported Platforms | app, open-source, website | Website |

## Ollama

Ollama has become the default way many developers get started with open models. A single install gives you a local server and a command line that pulls model weights, manages versions, and exposes a simple HTTP API on your machine. Because everything runs locally, prompts and responses never leave your computer, which makes it a natural fit for privacy-sensitive prototyping, offline work, and experiments that should not be metered per token.

The project has expanded well beyond a local runtime. Ollama now also serves open models in the cloud, so you can reach larger or more capable checkpoints without owning a high-end GPU. The company reports over nine million monthly installs, more than a billion model downloads, and hundreds of trillions of tokens served, which reflects how widely the tool is embedded in AI developer workflows.

Pricing stays approachable: running models on your own hardware is free and unlimited, while cloud usage is metered per token, with subscription plans for individuals, power users, and teams. Model weights are supplied by the upstream publishers, and Ollama states that prompt and response data are never logged or used for training.

**Pricing & Plans:** Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered.

- **One-command local models:** Install once and pull open-weight models by name; Ollama handles weights, quantization and versioning for you.
- **Local HTTP API and CLI:** A built-in server exposes a straightforward REST API, so scripts, editors and agents can talk to local models with minimal setup.
- **Cloud models for bigger jobs:** Route requests to hosted open models when your laptop cannot hold the checkpoint you need, with per-token pricing and concurrency tiers.
- **Broad model catalog:** Access families such as Llama, Qwen, DeepSeek, Gemma, Mistral and gpt-oss from a single interface.
- **Privacy by default:** Local inference keeps prompts and outputs on your own device, with no logging or training on your data.

**Strengths:** Extremely quick to install and use, with a friendly CLI and API; Local inference means strong privacy and no per-token cost on your own hardware; Wide, actively updated catalog of open-weight models; Cloud option scales to larger models without new hardware

**Limitations:** Local performance depends heavily on your GPU and RAM; Cloud usage is billed per token and large models add up quickly; Advanced serving features are less extensive than dedicated inference servers

[Profile (Markdown)](https://openaitools.app/tool/ollama.md)

## Scalebrowser

>Scalebrowser targets the part of agent work that usually breaks first: staying authenticated. Instead of scraping a signed-out page or re-logging in on every run, it hands each agent a browser machine that keeps a stable identity, complete with stored passwords, per-profile inboxes, two-factor codes and passkeys. The product installs as a desktop app so the GPU, screen and fingerprint values match the real machine, which reduces the chance that a profile contradicts itself.

On top of the browser layer, Scalebrowser adds an agent layer. Agents read a page once and then only what changed, which keeps token spend predictable on long runs. Captchas are handled through human-like input, keys on a page are surfaced to the agent as placeholders, and each tool call is logged as a step with a result and a screenshot. It works with MCP clients such as Claude and Cursor, Python and Node SDKs, a REST API and direct CDP for existing browser-use code.

Plans are measured by how much runs at once. The free tier covers a single browser and three profiles, while paid tiers grow concurrent browsers, machines, profiles and workflows. Workflows can be started by hand or by an agent, and higher tiers add schedules, webhooks, sync and phone approvals.

**Pricing & Plans:** Free plan with 1 concurrent browser, 1 machine and 3 profiles, no card required. Paid plans: Start at $19/month (1 browser, 25 profiles), Solo at $49/month (5 browsers, 100 profiles), Studio at $99/month (20 browsers, 3 machines, 500 profiles), and custom Enterprise pricing. Most paid plans include a 7-day free trial.

- **Persistent profile identity:** Each profile is generated from a seed so its identity, cookies and logins persist across restarts, and sites see the same returning visitor rather than a new device.
- **Isolated browser profiles:** One browser per profile means separate logins, cookies and devices that share nothing, making multi-account automation safe to run in parallel.
- **Built-in sign-in and 2FA handling:** Agents get through username and password forms, email confirmation codes, TOTP and SMS two-factor codes, passkeys and permission prompts without stalling.
- **Human-like input and captchas:** Press-and-hold, image grid, slider and rotation captchas are solved through human-like input rather than third-party solving keys.
- **Flexible agent integrations and trails:** Connect over MCP, Python or Node SDKs, REST or direct CDP, and review every action as a step with its result and screenshot.

**Strengths:** Strong focus on persistent, isolated identities so agents stay logged in across runs; Broad integration surface covering MCP, Python/Node SDKs, REST and direct CDP; Built-in handling of logins, email codes, TOTP, SMS, passkeys and captchas; Token-efficient page reading that only reports what changed between steps

**Limitations:** Requires installing a desktop app and running it on your own machine, so it is not a purely cloud-hosted service; Free tier excludes schedules, webhooks, sync and phone approvals; Paid tiers meter concurrent browsers, machines and profile counts, which can raise costs for large fleets; Advanced anti-detection features may raise compliance responsibility with target platforms

[Profile (Markdown)](https://openaitools.app/tool/scalebrowser.md)

## Frequently Asked Questions

### How do Ollama and Scalebrowser compare in monthly traffic?

Ollama has 9,421,973 monthly visits, while Scalebrowser has 161,955. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Ollama has a month-over-month growth rate of +4.3%; Scalebrowser has +212.7%.

### How does pricing compare?

Ollama: Free, Freemium, Paid. Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered. Scalebrowser: Free Trial, Paid. Free plan with 1 concurrent browser, 1 machine and 3 profiles, no card required. Paid plans: Start at $19/month (1 browser, 25 profiles), Solo at $49/month (5 browsers, 100 profiles), Studio at $99/month (20 browsers, 3 machines, 500 profiles), and custom Enterprise pricing. Most paid plans include a 7-day free trial.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Cloud API gateway providing instant access to thousands of models, trading local hardware privacy for cloud compute. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | A massive cloud web scraping and automation marketplace, though it lacks Scalebrowser's focus on persistent isolated profiles. | [.md](https://openaitools.app/tool/apify.md) |
| 3 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Open-source platform for building visual agentic workflows and RAG pipelines using local or cloud models. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 4 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Feature-rich self-hosted web chat interface designed to manage and query local models like Ollama. | [.md](https://openaitools.app/tool/open-webui.md) |
| 5 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 6 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Privacy-first desktop app focused specifically on local document chat and RAG, unlike Ollama's general-purpose CLI runtime. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 7 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Development framework for connecting local models to external document stores and structured data sources. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 8 | [ego (lite)](https://openaitools.app/tool/ego-lite) | 384,099 | +97.6% | Free | A free Chromium-based browser optimized for running parallel AI web automation and scraping tasks locally. | [.md](https://openaitools.app/tool/ego-lite.md) |
| 9 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | Open-source desktop app for running models locally with a graphical interface, but heavier than Ollama's lightweight CLI. | [.md](https://openaitools.app/tool/jan.md) |
| 10 | [Happycapy](https://openaitools.app/tool/happycapy) | 191,406 | +7.2% | Freemium | An agent-native computer that works while you sleep | [.md](https://openaitools.app/tool/happycapy.md) |

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Source: https://openaitools.app/compare/ollama-vs-scalebrowser

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