# DeepSeek vs Revent

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Revent records 0 monthly visits with -100% growth and Paid, Contact for Pricing pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Revent](https://openaitools.app/tool/revent) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://reventapp.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI For Data Analytics, AI Agent, AI Chatbot, AI Knowledge Management |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 372,761,591 | 0 |
| MoM Growth Rate | +4.3% | -100% |
| Primary Market | China | Global |
| Direct Visits | 291,585,405 | 0 |
| Review Score | 4.8 | 4.5 |
| 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)

## Revent

Revent is a specialist AI tool aimed at roofing contractors and estimating teams. You upload the blueprints, specs and RFP documents for a job, and Revent reads them to surface the details that matter: roof specifications, material types, square footage, pitch, flashing details and other project requirements. Every answer comes with references back to the source document, so estimators can verify figures rather than trust a black box.

Beyond document Q&A, Revent adds a job-fit scoring layer. It evaluates each opportunity against the type of work your crew actually does, so teams can stop burning hours on bids they are unlikely to win and concentrate on jobs that match their expertise and capacity. The platform then generates the takeoff itself, producing counts for shingles, underlayment and flashing along with the supporting measurements.

The company reports that contractors using Revent complete takeoffs roughly 85% faster, waste about half as much time on unsuitable jobs, and can roughly triple bid output without adding headcount. Plans are structured around a monthly project allowance (a project equals one complete takeoff analysis), with annual billing and custom enterprise tiers available. Revent sells through a demo request and login portal rather than instant self-serve signup.

**Pricing & Plans:** Revent is a paid, sales-led product. Plans are organised around a monthly allowance of projects (one project = one complete roofing takeoff analysis), with annual billing offering roughly 25% savings. Unused monthly projects do not roll over, but separately purchased extra projects do. Enterprise and higher-volume custom plans are quoted individually — contact Revent for exact pricing.

- **Document Q&A with citations:** Ask questions about any roofing project and get answers on pitch, quantities, flashing details and material requirements, each tied back to the exact place in the blueprint or spec.
- **Job compatibility scoring:** Revent rates each opportunity against your crew's skills and capacity so you can prioritise the bids you are actually likely to win.
- **Instant material takeoffs:** Automatically counts shingles, underlayment, flashing and other components and consolidates roof specs, measurements and quantities in one place.
- **Blueprint and RFP analysis:** Scans lengthy specification packages and RFP documents to extract the details that drive an estimate, replacing manual reading and spreadsheet work.
- **Project-based plans:** Subscription tiers are metered by completed takeoff projects per month, with add-on project packs that roll over and custom enterprise options.

**Strengths:** Purpose-built for roofing estimating rather than generic document AI; Answers include source references so estimators can verify them; Job-fit scoring helps teams avoid unprofitable bid chasing; Reported productivity gains of 85% faster takeoffs and up to 3x bid output

**Limitations:** Narrow vertical focus — not useful outside roofing and similar trades; No public price list; you must book a demo or contact sales; Monthly project allowances do not roll over, so light months are wasted; Requires quality blueprint and spec uploads to work well

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while Revent 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%; Revent has -100%.

### 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). Revent: Paid, Contact for Pricing. Revent is a paid, sales-led product. Plans are organised around a monthly allowance of projects (one project = one complete roofing takeoff analysis), with annual billing offering roughly 25% savings. Unused monthly projects do not roll over, but separately purchased extra projects do. Enterprise and higher-volume custom plans are quoted individually — contact Revent for exact pricing.

## 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/deepseek-vs-revent

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