# DeepSeek vs Open Knowledge Maps

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Open Knowledge Maps records 83,432 monthly visits with -2.4% growth and Free pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Open Knowledge Maps](https://openaitools.app/tool/openknowledgemaps-org) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://openknowledgemaps.org |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Search Engine, AI Research Tool, AI Map Generator, AI Knowledge Graph |
| Pricing Model | Freemium | Free |
| Monthly Visits | 372,761,591 | 83,432 |
| MoM Growth Rate | +4.3% | -2.4% |
| Primary Market | China | Indonesia |
| Direct Visits | 291,585,405 | 32,336 |
| 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)

## Open Knowledge Maps

Open Knowledge Maps, often shortened to OKMaps, is an open-science platform whose mission is to dramatically increase the visibility of research findings. Rather than returning a ranked list of links, it builds an interactive knowledge map from your search terms: related items are grouped into bubbles and color-coded clusters, so you can immediately see which subtopics exist and which of them matter most to your question. Clicking a cluster expands it, and each node links out to the underlying metadata and source record.

The service queries BASE, one of the world's largest open repositories aggregators, covering more than 400 million outputs from over 11,000 sources, including publications, datasets, software, and images. Because the visual layout is generated directly from the metadata rather than from generated text, the project emphasizes that results contain no hallucinations. Everything is delivered in a browser, requires no installation and no account, and the underlying software is open source on GitHub.

Open Knowledge Maps is operated as a charitable non-profit organization. It is free for anyone to use and sustains itself through supporting members such as university libraries, plus grants and donations. It also offers custom services so institutions can embed its discovery components into their own search portals. The result is infrastructure aimed at students, researchers, librarians, and curious non-specialists who want a faster, more intuitive entry point into a field.

**Pricing & Plans:** Free for all users. Open Knowledge Maps is a charitable non-profit funded by supporting members (libraries and institutions), grants, and donations, with optional paid custom-integration services for organizations.

- **Visual knowledge maps:** Every search produces an interactive concept map in which related research outputs are grouped into labeled, clickable clusters instead of a single flat list.
- **400M+ research outputs:** Searches more than 400 million records in over 400 languages pulled from more than 11,000 sources through the BASE aggregator.
- **25 output types:** Beyond journal articles, results span datasets, software, images, and other research objects, giving a broader picture of a topic.
- **No AI hallucination:** Maps are generated from metadata rather than synthesized text, so what you see corresponds to real indexed records.
- **Open source and embeddable:** The platform is open source on GitHub, and institutions can integrate its discovery components into their own systems via custom services.

**Strengths:** Completely free with no account or installation required; Visual clustering makes the structure of a topic obvious at a glance; Nonprofit, open-science mission with an open source codebase; Metadata-driven results avoid the hallucination risk of text-generating search tools

**Limitations:** Coverage is limited to what is available through the BASE aggregator; Map quality depends on how specific your search terms are; No built-in full-text reading, saving, or personal library features

[Profile (Markdown)](https://openaitools.app/tool/openknowledgemaps-org.md)

## Frequently Asked Questions

### How do DeepSeek and Open Knowledge Maps compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while Open Knowledge Maps has 83,432. 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%; Open Knowledge Maps has -2.4%.

### 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). Open Knowledge Maps: Free. Free for all users. Open Knowledge Maps is a charitable non-profit funded by supporting members (libraries and institutions), grants, and donations, with optional paid custom-integration services for organizations.

## 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/deepseek-vs-openknowledgemaps-org

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