# Connected Papers vs DeepSeek

Connected Papers records 750,576 monthly visits with +3.1% month-over-month growth and Freemium pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [Connected Papers](https://openaitools.app/tool/connected-papers) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://www.connectedpapers.com | https://www.deepseek.com |
| Categories | AI Research Tool, AI Knowledge Graph, AI Search Engine, AI Research Papers | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 750,576 | 372,761,591 |
| MoM Growth Rate | +3.1% | +4.3% |
| Primary Market | United States | China |
| Direct Visits | 308,439 | 291,585,405 |
| Review Score | 4.7 | 4.8 |
| Saved Count | 15 | 44 |
| Supported Platforms | Website | Website |

## Connected Papers

The underlying problem Connected Papers tackles is that a literature review is usually conducted linearly: you find one paper, follow its citations, follow theirs, and gradually lose the thread of the wider field. Connected Papers instead computes similarity across a large scholarly corpus — building on data sources such as Semantic Scholar and Crossref — and lays the results out spatially. Papers that are frequently cited together or that share a large body of references cluster near each other, while the connecting edges show how strongly any two nodes relate. The layout is generated consistently, so the same graph is reproduced on later visits rather than reshuffling unpredictably.

The interface gives you two complementary views. The graph view is for orientation: which papers are central, which are recent, and which bridges connect separate clusters. The list view ranks related works by similarity and citation signals so you can drill into something specific. Common entry points include an arbitrary paper, a DOI, a URL, or a link to a conference proceedings. Prior Works and Derivative Works views are especially useful when you want to trace a field's ancestry or find what later built on a paper.

The service is aimed squarely at graduate students, postdocs and applied scientists who need to get up to speed on unfamiliar territory quickly — whether writing a related-work section, preparing a grant, or sanity-checking whether an idea has already been published. It is an independent research tool, not a publisher or a repository; the graphs are a discovery aid layered on top of existing scholarly metadata.

**Pricing & Plans:** Freemium

- **Similarity graph visualisation:** Each graph places the seed paper among its most closely related works, clustered by how often papers are cited together or share references.
- **Prior and derivative works views:** Separate perspectives show what a paper builds on and what later work builds on it, which is ideal for tracing a research lineage.
- **Multiple search inputs:** Start from a paper title, DOI, URL or proceedings link, so you can enter the graph from whatever you already have at hand.
- **Ranked list alongside the graph:** A ranked list view lets you browse related publications by relevance when you need specifics rather than an overview.
- **Stable, reproducible layouts:** The same graph is generated again on later visits, making it practical to bookmark a field's map and return to it while writing.

**Strengths:** Turns an otherwise linear citation chase into a spatial overview; Prior and derivative views make research lineage explicit; Works from a title, DOI or URL, so entry is frictionless; Free tier is enough to try it on real research tasks

**Limitations:** Requires JavaScript, so it cannot be read or scraped as a plain page; Graph quality depends on how well indexed the field is in the underlying corpus; Heaviest research-grade features sit behind paid plans

[Profile (Markdown)](https://openaitools.app/tool/connected-papers.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 Connected Papers and DeepSeek compare in monthly traffic?

Connected Papers has 750,576 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Connected Papers has a month-over-month growth rate of +3.1%; DeepSeek has +4.3%.

### How does pricing compare?

Connected Papers: Freemium. Freemium 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 | Provides broader citation data across millions of papers, but lacks Connected Papers' proprietary graphical relationship view. | [.md](https://openaitools.app/tool/semantic-scholar.md) |

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Source: https://openaitools.app/compare/connected-papers-vs-deepseek

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