# Arch vs DeepSeek

Arch records 1,329 monthly visits with -69.3% month-over-month growth and Paid, Contact for Pricing pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [Arch](https://openaitools.app/tool/arch) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://arch.ai | https://www.deepseek.com |
| Categories | AI Real Estate, AI Scheduling, AI Lead Generation, AI Customer Service | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Paid, Contact for Pricing | Freemium |
| Monthly Visits | 1,329 | 372,761,591 |
| MoM Growth Rate | -69.3% | +4.3% |
| Primary Market | Brazil | China |
| Direct Visits | 579 | 291,585,405 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 0 | 44 |
| Supported Platforms | Website | Website |

## Arch

Arch is an integrated leasing operating system aimed at large luxury multifamily buildings, with an emphasis on dense urban markets such as New York City. Rather than stitching together a CRM, a scheduling widget, and a separate application portal, Arch puts the entire leasing funnel in one place: every lead conversation from Zillow, StreetEasy, email, SMS, and phone is threaded into a shared team inbox, so agents always see the full context of a prospect without hunting through tools.

The scheduling side is designed to remove the back-and-forth that slows leasing teams down. Prospects can self-schedule tours 24/7 directly from a property website, and Arch routes each booking to the right agent based on building, unit, and availability so double bookings do not happen. Built-in confirmations and reminders are there specifically to cut no-shows and late arrivals.

Applications and screening complete the loop. Applicants pick a unit, upload documents such as IDs and pay stubs, e-sign disclosures and pet agreements, and submit screening data through a branded, mobile-first portal. On top of that, Arch exposes leasing funnel analytics so managers can compare conversion by agent, channel, and building, and spot where vacancy is being created. Pricing is tailored to unit count, feature configuration, and portfolio size, and Arch is sold primarily to large multifamily operators via a request-access process.

**Pricing & Plans:** Custom pricing quoted per portfolio. Arch says pricing is based on unit count, features, and portfolio size, and the process starts with a Request Access conversation. Typical inclusions are team calendar and scheduling, shared messaging inbox, application portal and screenings, and leasing funnel analytics.

- **Unified team inbox:** Threads every lead conversation from Zillow, StreetEasy, email, SMS, and calls into one shared view so the whole leasing team works from the same context.
- **24/7 self-scheduling with smart routing:** Prospects book tours directly from your website at any hour, and Arch assigns each tour to the right agent by building, unit, and availability to prevent double bookings.
- **No-show reduction:** Automated confirmations and reminders trim no-shows and late arrivals, protecting agent time and keeping the tour calendar reliable.
- **Applications, screenings, and e-signature:** A branded mobile portal lets applicants select a unit, upload documents, complete background and credit screening, and e-sign disclosures without leaving the flow.
- **Leasing intelligence and reporting:** Real-time visibility into conversion rates by agent, channel, and building, plus no-show tracking and marketing ROI, so teams can act on what is actually driving leases.

**Strengths:** Consolidates messaging, scheduling, applications, and reporting into one system instead of four disconnected tools; Self-scheduling with rule-based agent routing is a direct answer to tour coordination overhead and double bookings; Screening, e-signature, and document collection happen inside a branded mobile flow, which reduces applicant drop-off; Reporting is framed around leasing outcomes such as conversion by agent and channel, not vanity activity metrics

**Limitations:** Aimed squarely at large luxury multifamily portfolios, so individual landlords and small operators are not the target audience; No public price list; you must go through a request-access conversation to get a quote; Deep integrations with existing PMS, screening, and calendar systems depend on a scoping process rather than self-serve setup

[Profile (Markdown)](https://openaitools.app/tool/arch.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 Arch and DeepSeek compare in monthly traffic?

Arch has 1,329 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Arch has a month-over-month growth rate of -69.3%; DeepSeek has +4.3%.

### How does pricing compare?

Arch: Paid, Contact for Pricing. Custom pricing quoted per portfolio. Arch says pricing is based on unit count, features, and portfolio size, and the process starts with a Request Access conversation. Typical inclusions are team calendar and scheduling, shared messaging inbox, application portal and screenings, and leasing funnel analytics. 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 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |

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Source: https://openaitools.app/compare/arch-vs-deepseek

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