# DeepSeek vs SuperMemory

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

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [SuperMemory](https://openaitools.app/tool/supermemory) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://supermemory.ai |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Knowledge Management, AI Knowledge Base, AI Assistant, AI Chatbot |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 372,761,591 | 0 |
| MoM Growth Rate | +4.3% | — |
| Primary Market | China | Global |
| Direct Visits | 291,585,405 | 0 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 44 | 0 |
| Supported Platforms | Website | Browser Extension |

## 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)

## SuperMemory

Supermemory is a memory and continual-learning layer built for AI agents and applications. Its premise is that raw model intelligence is no longer the bottleneck: models are highly capable but do not learn from live interaction on their own. Supermemory closes that gap by owning the infrastructure for storing what a system has learned and bringing it back to the model at the right moment.

Architecturally, raw data such as chats, URLs and structured content enters Supermemory, where a purpose-built learner model extracts, merges, infers and forgets information. The resulting learnings are stored in a vector-graph database with an understanding of entities, sources and time. When an agent makes a request, the most relevant memories are injected back into the model's context via hooks, rather than relying on embeddings or stuffing whole histories into the prompt.

Because the memory sits outside any single model provider, it travels across models and tool harnesses and is exposed programmatically. Official access is offered through an API, plugins and MCP, so it can be wired into common agent and coding environments. The company targets both individual developers and large organizations, reporting production usage at high scale and offering self-hosted and air-gapped deployments for teams with strict data-residency or compliance needs.

**Pricing & Plans:** Free plan gives $0/month with $5 of credits renewed monthly. Pro is $19/month ($20 credits), Max is $100/month ($130 credits), and Scale is $399/month ($600 credits) for production teams with advanced PDF extraction and self-hosting. Enterprise is custom with air-gapped deployment, SOC 2, HIPAA BAA and SLA. Credits draw from all meters at the same rates, and unchanged content is not re-billed.

- **Continual-learning memory engine:** A dedicated learner model extracts, merges, infers and forgets facts, storing each learning in a vector-graph database that understands entities, sources and time.
- **Real-time context injection:** Learnings are injected into the model's context in real time via hooks, so agents recall relevant information without stuffing full histories into the prompt.
- **Any model, any harness:** Memory lives outside any single model provider, so it carries across models and harnesses and is delivered through the API, plugins and MCP.
- **Deduplicated, usage-based billing:** Mandatory memory is only billed once: repeated or unchanged content is not charged again, and the same rates apply on every plan.
- **Enterprise security and deployment:** Air-gapped self-hosting, SOC 2 Type II certification, HIPAA BAA on higher tiers and GDPR compliance, with custom contracts and DPAs available.

**Strengths:** Purpose-built memory model handles extraction, merging, inference and forgetting automatically; Works with any model or harness through API, plugins and MCP, avoiding provider lock-in; Strong benchmark and production claims, including low-latency recall tuned for agent loops; Real enterprise options: SOC 2 Type II, HIPAA BAA, GDPR, self-hosting and air-gapped deployment

**Limitations:** The primary interface is developer-oriented (API, MCP, plugins), so non-technical users have a steeper learning curve; Pricing is credit-based, which makes it hard to predict spend without modeling your own ingestion and query volumes; Advanced PDF extraction and self-hosting are reserved for the higher-priced Scale and Enterprise tiers

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while SuperMemory 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%; SuperMemory has —.

### 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). SuperMemory: Freemium. Free plan gives $0/month with $5 of credits renewed monthly. Pro is $19/month ($20 credits), Max is $100/month ($130 credits), and Scale is $399/month ($600 credits) for production teams with advanced PDF extraction and self-hosting. Enterprise is custom with air-gapped deployment, SOC 2, HIPAA BAA and SLA. Credits draw from all meters at the same rates, and unchanged content is not re-billed.

## 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-supermemory

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