# DeepSeek vs Rool

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Rool records 73,485 monthly visits with -15.8% growth and Freemium pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Rool](https://openaitools.app/tool/rool) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://rool.dev |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Assistant, AI Productivity Tools, AI Knowledge Management, AI Files |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 372,761,591 | 73,485 |
| MoM Growth Rate | +4.3% | -15.8% |
| Primary Market | China | United States |
| Direct Visits | 291,585,405 | 38,090 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 44 | 0 |
| Supported Platforms | Website | Website |

## DeepSeek

DeepSeek (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.) is a frontier AI research organization that disrupted the global LLM market by pairing open-weight transparency with breakthrough Mixture-of-Experts (MoE) and reinforcement-learning reasoning efficiency. Following the landmark releases of DeepSeek-V3 and the peer-reviewed DeepSeek-R1 reasoning model, DeepSeek introduced the DeepSeek-V4 generation in 2026—featuring a hybrid attention architecture and a native 1-million-token context window across DeepSeek-V4-Pro (1.6T total parameters, 49B active per token) and DeepSeek-V4.1-Flash (284B total parameters, 13B active per token).

Users can interact with DeepSeek in three ways: completely free through the consumer web portal (chat.deepseek.com) and mobile apps with one-click toggles for deep thinking and live web search; via DeepSeek's hosted, OpenAI-compatible developer API; or by self-hosting DeepSeek's open-weight checkpoints (including V3, R1, Prover-V2, and distilled Qwen/Llama variants) on private infrastructure. The models excel at competitive mathematics, algorithm design, repository-level software engineering, and structured data extraction, with automatic context caching on the API that slashes repeated prompt costs by over 95%.

In late 2026, DeepSeek remains the price-performance benchmark for developers and automation workflows. While the consumer chat interface remains free without a mandatory $20/month subscription tier, the developer API transitioned in late 2026 to two primary endpoints—`deepseek-flash` and `deepseek-v4-pro`—with time-of-day pricing. Off-peak API calls cost just $0.15 per million input tokens ($0.003 on cache hits) and $0.60 per million output tokens on Flash, and $0.66 input / $1.98 output on V4-Pro, making it a fraction of the cost of comparable Western frontier models.

**Pricing & Plans:** Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

- **DeepSeek-V4 Hybrid Attention & 1M Context:** Leverages a sparse Mixture-of-Experts architecture (49B active parameters out of 1.6T on V4-Pro) to process up to 1 million tokens with minimal latency and memory overhead.
- **Transparent Chain-of-Thought Reasoning:** Pioneered by DeepSeek-R1 and integrated into V3.2 and V4 thinking modes, exposing step-by-step self-verification for complex math, logic, and code debugging.
- **Automatic Context Caching & Off-Peak API Pricing:** Drops input token costs to $0.003/1M on Flash and $0.022/1M on V4-Pro for cache hits, with 50% lower rates during off-peak UTC hours.
- **Free Consumer Web & Mobile Assistant:** Provides free access at chat.deepseek.com and on iOS/Android with document uploads, reasoning mode, and web search without paywalling core models.
- **Open-Weight Ecosystem & Self-Hosting Freedom:** Offers open weights for DeepSeek-V3, R1, Distill variants, and Prover models on Hugging Face and GitHub so enterprises can deploy within air-gapped environments.

**Strengths:** Completely free consumer web and mobile app with deep reasoning and web search included; Ultra-low API token rates ($0.15/$0.60 on Flash, $0.66/$1.98 on V4-Pro off-peak) with up to 98% savings on cached inputs; Drop-in OpenAI API compatibility makes switching or routing between models effortless; Strong open-weight lineage allows teams to self-host or fine-tune models without vendor lock-in

**Limitations:** Hosted API and web app store data on servers in China, prompting compliance restrictions for some Western enterprises and government agencies; Peak-hour API pricing (01:00–04:00 and 06:00–10:00 UTC on weekdays) doubles per-token costs compared to off-peak rates; Lacks native voice mode, video generation, and productivity suite integrations offered by ChatGPT and Google Gemini

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

## Rool

Rool positions itself as a private alternative to consumer AI chat apps. Each user gets one or more "Rool Machines": isolated workspaces that hold files, allow software to run, and retain memory from previous tasks. Chat is described as the entry point rather than the product — the durable artifact is the machine, which keeps results and context available for whatever you do next.

The privacy story is central. Machines are hosted on infrastructure the company operates in the European Union, and the language models are self-hosted on the same EU infrastructure rather than proxied to third-party US providers. The company states that content you put in is never used for training, that it does not sell data, and that access is limited to you and the people you explicitly invite. For teams, an admin-managed plan with a built-in Data Processing Agreement targets organisations with GDPR-style obligations.

Functionally, Rool combines document work, file management and software execution inside the workspace. External services can be attached through built-in connectors and custom MCP servers, which lets you bring existing tools into the same environment rather than switching between apps. Usage is metered in daily AI credits that refill hourly, with storage allocated per machine.

**Pricing & Plans:** Freemium with a free-forever Standard tier (480 AI credits per day, 2 machines, 1 GB storage each). Plus is €9/month for 2,400 daily credits, 2 machines and 2 GB each; Pro is €25/month for 9,600 daily credits, 5 machines, 10 GB each, priority support, custom subdomain and connectors/MCP. A separate usage-based business/team plan with shared machines is available. Credit balances refill hourly up to a cap.

- **Private EU-hosted machines:** Every workspace runs on servers the company operates inside the European Union, with AI models self-hosted on the same infrastructure rather than forwarded to external providers.
- **Persistent memory across tasks:** The machine remembers prior work and conversation context, so follow-up tasks pick up where the last one ended instead of starting from a blank chat.
- **Files and software in one workspace:** Store and work on documents, and run software inside the same machine, keeping results and context together rather than scattered across multiple apps.
- **Connectors and custom MCP servers:** Attach external tools and services to your machine via built-in connectors or self-configured MCP servers, so the stack you already use is reachable from inside Rool.
- **No training on your data:** The company states that your files and conversations are never used to train AI models, that there is no advertising, and that no data is sold.

**Strengths:** EU data residency with self-hosted models on company-operated infrastructure; Persistent memory and file context instead of disposable chat sessions; Free-forever Standard tier with no card required and generous daily credit refills; Connectors and custom MCP server support for bringing existing tools into the workspace

**Limitations:** Connectors and MCP are not available in every country yet, and are gated to paid tiers; Daily AI credits are capped and refill hourly, which can constrain heavy burst usage; Storage per machine is modest on lower tiers (1–2 GB)

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

## Frequently Asked Questions

### How do DeepSeek and Rool compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while Rool has 73,485. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DeepSeek has a month-over-month growth rate of +4.3%; Rool has -15.8%.

### How does pricing compare?

DeepSeek: Freemium. Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x). Rool: Freemium. Freemium with a free-forever Standard tier (480 AI credits per day, 2 machines, 1 GB storage each). Plus is €9/month for 2,400 daily credits, 2 machines and 2 GB each; Pro is €25/month for 9,600 daily credits, 5 machines, 10 GB each, priority support, custom subdomain and connectors/MCP. A separate usage-based business/team plan with shared machines is available. Credit balances refill hourly up to a cap.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Offers an enormous context window and deep Google ecosystem integration, but feels less specialized for pure reasoning tasks. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 3 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Delivers superior long-form coding artifacts and nuanced writing, but lacks DeepSeek's specialized open-weight reasoning models. | [.md](https://openaitools.app/tool/claude-2.md) |
| 4 | [Grok](https://openaitools.app/tool/grok) | 203,846,050 | -0.8% | Freemium | Features real-time X social data integration, but is less cost-effective for dedicated developer coding workflows. | [.md](https://openaitools.app/tool/grok.md) |
| 5 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 6 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 7 | [Muse](https://openaitools.app/tool/muse-ai-1) | 45,751,822 | +228.3% | Contact for Pricing | Your personal AI agent from Meta that actually gets things done | [.md](https://openaitools.app/tool/muse-ai-1.md) |
| 8 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Provides comparable open-weight foundation models and multilingual performance, but requires self-hosting or third-party inference setup. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 9 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 10 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Excels at ultra-long document analysis and research, but lacks the same level of open-weight developer community support. | [.md](https://openaitools.app/tool/kimi-chat.md) |

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Source: https://openaitools.app/compare/deepseek-vs-rool

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
