# DeepSeek vs Dump Memory

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

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Dump Memory](https://openaitools.app/tool/dump-memory) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://www.dumpmemory.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Knowledge Management, AI Notes Generator, AI Assistant, AI Search Engine |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 372,761,591 | 0 |
| MoM Growth Rate | +4.3% | 0% |
| Primary Market | China | Global |
| Direct Visits | 291,585,405 | 0 |
| Review Score | 4.8 | 4.2 |
| 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)

## Dump Memory

Dump Memory is built around a simple observation: most people think in fragments, but most note apps demand folders, tags, and filing rituals. Dump flips that around. You capture anything — a voice memo from a walk, a screenshot, a half-formed note, a document — with one tap, and the app organises the rest. There is no folder tree to maintain and no tagging chores. Retrieval works by meaning rather than filenames: you describe roughly what you remember, and the app surfaces the matching item.

The architectural choice that defines the product is locality. Memory files are written to your iPhone or iPad, and cross-device sync happens through your own Apple iCloud rather than the vendor's infrastructure. Embeddings are requested per-device, vectors are cached in a local SQLite database, and the actual semantic search executes on-device. According to the developer, there are no servers holding user content, which means the company cannot read, mine, or sell what you store.

That design has trade-offs. It is an Apple-first product aimed at iPhone and iPad users, with Android and Windows listed as future directions rather than available platforms. It also sits in the same rough territory as Apple Notes or Notion while competing on a different axis — Dump is less about structured documents and more about frictionless capture and recall. For builders, founders, and anyone who repeatedly loses track of their own screenshots and memos, the appeal is a memory system you never have to file, in a place nobody else can reach.

**Pricing & Plans:** No published price tiers were visible on the site at the time of review; the homepage promotes an early-access sign-up rather than a public paid plan. Check the official site for current availability and any future subscription details.

- **100% on-device storage:** Photos, notes, voice memos, and documents are written to your device and your personal iCloud rather than the vendor's servers.
- **Semantic search by meaning:** Describe what you remember in plain language and the local contextual engine finds the matching item — no filenames, folders, or tags required.
- **Zero-filing capture:** A single action dumps anything into one place; the app organises content contextually instead of asking you to build a folder structure.
- **Zero-data-retention AI:** Embeddings are generated from the device and vectors are cached in local SQLite, so search runs without handing your content to a persistent cloud store.
- **Private iCloud sync:** Apple devices stay in sync through your own end-to-end encrypted iCloud account, which the developer states it never accesses.

**Strengths:** Content stays on-device and in your own iCloud, with no servers storing user data; Search is meaning-based, so you don't need to maintain folders or tags; Voice memos, photos, documents, and notes live in one unified capture space; Uses zero-data-retention embedding models with local vector caching

**Limitations:** Apple-first: iPhone, iPad, and visionOS-era devices only, with Android and Windows still pending; No publicly listed pricing tiers on the site, so cost planning is unclear; Meaning-based search quality depends on the on-device embedding model rather than a large server-side index

[Profile (Markdown)](https://openaitools.app/tool/dump-memory.md)

## Frequently Asked Questions

### How do DeepSeek and Dump Memory compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while Dump Memory has 0. 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%; Dump Memory has 0%.

### 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). Dump Memory: Freemium. No published price tiers were visible on the site at the time of review; the homepage promotes an early-access sign-up rather than a public paid plan. Check the official site for current availability and any future subscription details.

## 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 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/deepseek-vs-dump-memory

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