# DeepSeek vs PromptQL

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. PromptQL records 46,603 monthly visits with +59.5% growth and Freemium, Contact for Pricing pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [PromptQL](https://openaitools.app/tool/promptql) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://promptql.io |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Agent, AI Knowledge Management, AI Knowledge Base, AI Assistant |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 372,761,591 | 46,603 |
| MoM Growth Rate | +4.3% | +59.5% |
| Primary Market | China | India |
| Direct Visits | 291,585,405 | 21,273 |
| Review Score | 4.8 | 4.2 |
| 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)

## PromptQL

PromptQL reframes AI assistance as a team sport. Rather than a single person chatting with an assistant, you spin up a bot for a piece of work — a reliability dashboard, a data quality sheet, an API spec, a monthly metrics deck, a delivery board — and invite the colleagues who actually hold the context. When the bot hits a gap, it asks the right person; when it finds an answer, it writes it back into the artifact next to the discussion.

The product's framing is that three people usually know where to look, and the bot checks all three. In its own examples, three people know what the data does not say, what the code does not say, and what the charts do not say. The bot's job is to reach those people, test their theories against the source systems, and keep the shared artifact correct rather than duplicating knowledge into yet another silo.

Technically, PromptQL bots can run continuously, work on an isolated computer with a browser, build their own tools for arbitrary APIs or databases, and create artifacts and apps. The multiplayer layer includes per-user data isolation — a user cannot ask the bot to access another user's data — editable and deletable messages in shared chat, and private bots users can spawn for sensitive work. An automatically maintained knowledge base captures what the team learns so context compounds rather than resets.

PromptQL also publishes detailed positions on shared context architecture, security, enterprise deployment and pricing, and ships an SDK for teams that want to build multiplayer AI agents themselves.

**Pricing & Plans:** Team pricing starts at $40 per paid user per month, with every user starting free and paid seats purchased in $40 increments. Enterprise considerations such as private networking, dedicated VPC and bring-your-own-cloud or bring-your-own-LLM are handled through contact with the team.

- **Bot per artifact:** Spin up a bot for a specific artifact — a dash board, data quality sheet, spec doc, metrics deck or project board — and give it ongoing responsibility.
- **Invite the humans who know:** Invite the teammates who hold the missing knowledge so the bot can ask them directly and fold their answers into the work.
- **Connected data and tooling:** Bots connect to APIs and databases, build their own tools, and run on an isolated computer with a browser when a task needs one.
- **Multiplayer controls:** Every change is logged, messages can be edited, and users cannot ask the bot to reach another user's data — designed for shared team use.
- **Enterprise deployment:** Architecture, security and deployment pages cover scoped permissions, private networking, dedicated VPC and bring-your-own-LLM options.

**Strengths:** Designed around collaborative work rather than single-user chat; Bots can draw on real data sources, APIs and databases instead of only documents; Strong emphasis on permissions, auditability and enterprise deployment options; Published SDK for building multiplayer AI agents on the platform

**Limitations:** Concept takes a mental shift if you are used to single-user AI chat assistants; Full value depends on connecting your data sources and inviting the right collaborators; Pricing is per paid user on top of a free tier, which needs planning for larger teams

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while PromptQL has 46,603. 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%; PromptQL has +59.5%.

### 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). PromptQL: Freemium, Contact for Pricing. Team pricing starts at $40 per paid user per month, with every user starting free and paid seats purchased in $40 increments. Enterprise considerations such as private networking, dedicated VPC and bring-your-own-cloud or bring-your-own-LLM are handled through contact with the team.

## 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 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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