# DeepSeek vs Manuel

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Manuel records 1,270 monthly visits with +32.2% growth and Contact for Pricing pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Manuel](https://openaitools.app/tool/manuel) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://manuel.chat |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Knowledge Management, AI Knowledge Base, AI Chatbot, AI Assistant |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 372,761,591 | 1,270 |
| MoM Growth Rate | +4.3% | +32.2% |
| Primary Market | China | Netherlands |
| Direct Visits | 291,585,405 | 549 |
| Review Score | 4.8 | 4.3 |
| 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)

## Manuel

Manuel targets a specific, high-friction problem: technicians standing in front of a boiler or heat pump, trying to remember which fault code means what, while the answer sits in a PDF somewhere, a manufacturer portal, or the head of an experienced colleague who is already on the phone. The product aggregates roughly 25,000 manuals across more than 85 brands — fault codes, parameters, wiring diagrams, parts and commissioning procedures — and layers a company's own institutional knowledge on top: past work orders, internal instructions, WhatsApp tips and answers that senior engineers have given before.

The result is a single technical knowledge layer that serves two audiences. In the field, technicians ask Manuel with voice or text or scan a type plate, and receive a practical answer accompanied by the source document and page number, so they can verify it themselves. At the service desk, the same verified answers allow staff to diagnose faults before dispatching a van, walk a customer through a reset, or brief a technician with the fault, the part and the steps.

Manuel is aimed at reducing repeat visits and idle searching time. The vendor frames the benefit as recovering hundreds of service hours a year per team by shortening the loop between a fault and a first-time fix. Documentation and interface are currently strongest in Dutch, with an English option, and pricing is handled through a sales conversation rather than a self-serve checkout.

**Pricing & Plans:** Manuel does not publish a self-serve price list. Pricing is arranged through a conversation with the team — the site offers a "Plan een kennismaking" (schedule an introduction) call rather than online checkout, which typically indicates per-company or per-seat enterprise quotes.

- **Brand and appliance knowledge base:** Answers drawn from roughly 25,000 manuals spanning more than 85 brands, covering boilers, heat pumps, air conditioning, ventilation, charging points, solar panels and inverters.
- **Fault codes, parameters and parts:** Look up error codes, check parameter and settings values, and identify the exact part number needed, instead of digging through portal PDFs.
- **Answers with source and page:** Every response carries the original technical source and page reference, so technicians can verify the advice before acting on it.
- **Your own company knowledge layer:** Manuel indexes past work orders, internal documents, technician tips and previously solved faults alongside manufacturer data.
- **Field app plus service desk view:** Technicians use an iPhone or Android app on the job — voice, text or type-plate scan — while back-office staff work from a shared knowledge base view.

**Strengths:** Answers always cite the original source and page, which builds trust with sceptical technicians; Combines OEM documentation with a company's own work orders and internal knowledge rather than only public manuals; Voice input and type-plate scanning fit how technicians actually work with dirty hands and limited time; Supports the whole loop — on-site diagnosis and phone-based service desk troubleshooting — from one knowledge layer

**Limitations:** No public pricing; you must book a call to learn what it costs; Content and interface are primarily Dutch, which limits usefulness for non-Dutch-speaking teams; Value depends heavily on how much internal documentation and work-order history you can feed it

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while Manuel has 1,270. 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%; Manuel has +32.2%.

### 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). Manuel: Contact for Pricing. Manuel does not publish a self-serve price list. Pricing is arranged through a conversation with the team — the site offers a "Plan een kennismaking" (schedule an introduction) call rather than online checkout, which typically indicates per-company or per-seat enterprise quotes.

## 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 | [Intercom](https://openaitools.app/tool/intercom-help) | 2,764,543 | -5.8% | Free Trial, Paid | AI-first customer service platform with a native AI agent for every conversation | [.md](https://openaitools.app/tool/intercom-help.md) |

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

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