# DeepSeek vs PromptLoop

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. PromptLoop records 33,817 monthly visits with -1.6% growth and Freemium, Contact for Pricing pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [PromptLoop](https://openaitools.app/tool/promptloop) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://www.promptloop.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Research Tool, AI Sales, AI Web Scraping, AI Lead Generation |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 372,761,591 | 33,817 |
| MoM Growth Rate | +4.3% | -1.6% |
| Primary Market | China | United States |
| Direct Visits | 291,585,405 | 13,658 |
| Review Score | 4.8 | 4.3 |
| Saved Count | 44 | 3 |
| 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)

## PromptLoop

PromptLoop is aimed squarely at the data-collection bottleneck in B2B sales and go-to-market work. Instead of stitching together a scraper, an enrichment vendor and a spreadsheet script, it puts search, scraping and enrichment into one flow: describe the datapoints you want, point it at a list of companies, domains or search terms, and it returns those columns filled in. The company is backed by Y Combinator and reports 85%+ cost savings and roughly 10x speed versus manual or chat-based research on the same tasks.

The distinctive piece is the Data Agents concept. Rather than prompting row by row, you launch a web agent across an entire dataset so it can read thousands of pages in bulk and pull back deep research, contact emails, mobile numbers and similar fields. This is the same job that general-purpose deep-research tools attempt, but tuned to operate over lists of records and to return structured, spreadsheet-ready output. Templates cover common patterns such as company research, geographic filtering and people search, and a free playground lets you test custom AI models and prompts before committing them to a workflow.

The other half of the product is closing the loop: enriched data is only useful once it reaches the team. PromptLoop provides native HubSpot and Salesforce integrations and works inside Google Sheets and Excel, so enriched records sync straight into the CRM or a shared sheet where the sales team can act on them. Pricing starts free and scales into quote-based plans for larger datasets and enterprise needs, which keeps it accessible for small teams while leaving room for volume users.

**Pricing & Plans:** Freemium with contact-for-pricing tiers. A free tier and a free custom AI model playground are available; paid plans are quote-based depending on usage volume and enterprise requirements.

- **Search, scrape and enrich in one flow:** A single workflow covers finding companies and people, scraping their sites and appending the datapoints you need, in the format you choose.
- **Data Agents across entire datasets:** Launch a web agent on thousands of websites at once to extract deep research, emails, phone numbers and more from a whole dataset.
- **CRM and spreadsheet native sync:** Native HubSpot, Salesforce and Excel integrations push enriched records straight into the tools your team already uses.
- **Template library:** Dozens of ready-made templates plus built-in company, people and geographic search enrichment, so you can start from scratch quickly.
- **Custom AI models and playground:** In-house models tuned for web research tasks, with a free custom AI model playground to test your own prompts.

**Strengths:** Combines search, scraping and enrichment so you skip gluing separate tools together; Works natively inside Google Sheets, Excel, HubSpot and Salesforce; Data Agents process thousands of websites per run instead of prompting row by row; Large library of templates for company, people and geographic datasets

**Limitations:** It is a purpose-built GTM tool, so it is overkill for one-off lookups that a chat model can answer; Advanced data-agent workflows benefit from onboarding rather than being instantly self-explanatory; Pricing at scale is quote-based, which means no sticker price for larger teams; Coverage and accuracy still depend on the quality of the public web sources being scraped

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while PromptLoop has 33,817. 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%; PromptLoop has -1.6%.

### 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). PromptLoop: Freemium, Contact for Pricing. Freemium with contact-for-pricing tiers. A free tier and a free custom AI model playground are available; paid plans are quote-based depending on usage volume and enterprise requirements.

## 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 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | The AI-native CRM for agentic revenue teams | [.md](https://openaitools.app/tool/attio.md) |

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

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