# DeepSeek vs Graph One

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Graph One records 982 monthly visits with -30.4% growth and Contact for Pricing pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Graph One](https://openaitools.app/tool/graph-one) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://graph.one |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Knowledge Graph, AI Lead Generation, AI Investing, AI For Data Analytics |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 372,761,591 | 982 |
| MoM Growth Rate | +4.3% | -30.4% |
| Primary Market | China | United States |
| Direct Visits | 291,585,405 | 384 |
| Review Score | 4.8 | 4.1 |
| 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)

## Graph One

Graph One, operated by Borg Collective GmbH, addresses a familiar problem at advisory firms, consultancies and investment teams: relationship knowledge lives in individual inboxes and half-filled CRMs. When a partner leaves or a client contact changes role, that institutional memory walks out of the door. Graph One ingests metadata from email, calendar, CRM systems and public sources, resolves duplicate people and organisations into single entities, and draws the connections between them.

The result is a firm-level view of the network. Team members can search for a person and get one authoritative record instead of scattered threads, and they can ask who has the strongest real connection to a target. Warm paths are ranked by actual evidence — shared meetings, shared threads — rather than self-reported contact frequency, so recommendations are defensible rather than guesswork.

The product is explicitly privacy-conscious in its design. Graph One states that it reads metadata only and never message content, and that the resulting graph stays the property of the firm rather than being pooled across customers. Deployment is assisted: because every firm's data landscape is different, Graph One is configured with you against your own systems rather than self-served. It is currently presented as a beta, with access arranged through a demo call.

**Pricing & Plans:** Graph One does not publish public pricing. The site promotes a demo-led process and describes the product as being in beta, so commercial terms are arranged directly with the company.

- **Unified person and organisation records:** Email, calendar, CRM and public-source data are resolved into one clean entity per person or company, ending the duplicate-record problem.
- **Evidence-ranked warm paths:** Introduction routes are scored from real shared meetings and threads, and each ranking comes with the underlying evidence attached.
- **Firm-wide network search:** Search across the whole graph and get a single answer per person instead of hunting through inboxes and CRM tabs.
- **Team memory that survives turnover:** Context stays attached to the person and organisation, so relationships persist when roles and staff change.
- **Metadata-only, firm-owned data:** Only metadata is processed — never message content — and the resulting graph is kept as the firm's own asset.

**Strengths:** Addresses a real pain point for advisory and deal-driven firms where relationship knowledge is fragmented; Warm-path recommendations are grounded in measurable interaction evidence, not self-reported familiarity; Metadata-only processing and firm-owned graph are strong, clearly stated privacy commitments; One authoritative record per person removes the duplicate-contact mess in most CRMs

**Limitations:** No public pricing and a demo-gated, assisted setup make it hard to evaluate without a sales conversation; Currently labelled a beta, so feature depth and stability may still be evolving; Value depends heavily on how much of the firm's communication actually flows through connected systems

[Profile (Markdown)](https://openaitools.app/tool/graph-one.md)

## Frequently Asked Questions

### How do DeepSeek and Graph One compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while Graph One has 982. 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%; Graph One has -30.4%.

### 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). Graph One: Contact for Pricing. Graph One does not publish public pricing. The site promotes a demo-led process and describes the product as being in beta, so commercial terms are arranged directly with the company.

## 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 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |

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Source: https://openaitools.app/compare/deepseek-vs-graph-one

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