# Deepmark vs DeepSeek

Deepmark records 0 monthly visits with 0% month-over-month growth and Freemium pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [Deepmark](https://openaitools.app/tool/deepmark) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://usedeepmark.com | https://www.deepseek.com |
| Categories | AI Knowledge Management, AI Search Engine, AI Transcription, AI Summarizer | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 0 | 372,761,591 |
| MoM Growth Rate | 0% | +4.3% |
| Primary Market | Global | China |
| Direct Visits | 0 | 291,585,405 |
| Review Score | 4 | 4.8 |
| Saved Count | 0 | 44 |
| Supported Platforms | Website | Website |

## Deepmark

Deepmark is a private library for everything you save online. Instead of storing only a link and a title the way a classic bookmark manager does, it reads the actual content behind every save: page text, tweet and caption copy, spoken audio (transcribed in around 99 languages), sampled video frames, on-screen text, and a visual description of how each page looked. On top of that it layers an AI summary and tags. The result is a searchable archive where a vague, from-memory query — the way you would describe a post to a friend — still lands on the right item.

Capture is largely automatic. A Chrome extension imports your existing bookmark tree in one pass, keeps every new Ctrl+D bookmark indexed as you go, and syncs X bookmarks, Instagram saves and YouTube Watch Later/Liked lists in the background without duplicating what is already in your library. Fresh reels typically become fully searchable about 90 seconds after saving, while longer videos are turned into full searchable transcripts. Search runs across those layers in nearly 100 languages, so an English query can surface a Hindi or Arabic transcript.

Deepmark is also exposed as an MCP server: you point any MCP-capable client (Claude Code, Claude.ai, Cursor, ChatGPT and others) at a single URL, sign in once with OAuth, and your agent can search your saves, fetch transcripts and OCR, and add new links — all scoped to your own account. There is a free tier covering the first 50 indexed items and a paid plan that indexes everything, both with every feature unlocked.

**Pricing & Plans:** Free to start, paying only to index more. The Free plan is $0/month with 50 items indexed and no card required. The Paid plan is $7/month billed yearly ($84/year) or $10 billed monthly, indexes every item, and is subject to a fair-use daily limit. Both plans include all features and unlimited saves; saves beyond the free cap stay in your library as paused until you upgrade.

- **Multi-source automatic capture:** A Chrome extension imports your whole bookmark tree, then keeps browser bookmarks, X bookmarks, Instagram saves and YouTube Watch Later/Liked lists syncing in the background, skipping anything already stored.
- **Deep content indexing:** Every save is read inside and out — page and post text, spoken audio in around 99 languages, sampled video frames, OCR of on-screen text, and a visual description of the page.
- **Hybrid semantic search:** Describe a memory in natural language and hybrid semantic plus keyword search scans every layer of every save, working across roughly 99 languages.
- **AI summaries and automatic tags:** Each item gets an AI summary and tags so half-remembered saves are easy to resurface and organize without manual filing.
- **MCP server for AI agents:** Add one URL, approve OAuth once, and MCP clients like Claude Code, Cursor or ChatGPT can search your library, pull transcripts and OCR, and save new links, scoped to your account only.

**Strengths:** Reads inside saves — audio, video frames, OCR and page visuals — not just titles and URLs; Strong multilingual retrieval across roughly 99 languages; MCP server lets mainstream AI agents search your personal library; Free tier covers 50 indexed items with every feature included

**Limitations:** Full indexing of large libraries requires the paid plan; Paid plan carries a fair-use daily indexing limit; Best value depends on committing to annual billing at $7/month

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

## 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)

## Frequently Asked Questions

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

Deepmark has 0 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Deepmark has a month-over-month growth rate of 0%; DeepSeek has +4.3%.

### How does pricing compare?

Deepmark: Freemium. Free to start, paying only to index more. The Free plan is $0/month with 50 items indexed and no card required. The Paid plan is $7/month billed yearly ($84/year) or $10 billed monthly, indexes every item, and is subject to a fair-use daily limit. Both plans include all features and unlimited saves; saves beyond the free cap stay in your library as paused until you upgrade. 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).

## 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 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power. | [.md](https://openaitools.app/tool/ollama.md) |
| 10 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |

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

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