# AIlice vs DeepSeek

AIlice records 0 monthly visits with — month-over-month growth and Free pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [AIlice](https://openaitools.app/tool/ailice) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://github.com/myshell-ai/AIlice | https://www.deepseek.com |
| Categories | AI Agent, AI Assistant, Large Language Models (LLMs), AI Code Generator | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 372,761,591 |
| MoM Growth Rate | — | +4.3% |
| Primary Market | Global | China |
| Direct Visits | 0 | 291,585,405 |
| Review Score | 4.5 | 4.8 |
| Saved Count | 1 | 44 |
| Supported Platforms | Open Source | Website |

## AIlice

AIlice is an open-source research project from MyShell AI aimed at building a standalone, JARVIS-style AI assistant on top of modern large language models. Instead of a single rigid prompt chain, AIlice uses an Interactive Agents Call Tree (IACT) architecture: when you describe a goal, the agent dynamically spawns child agents for each sub-task, each with its own role, tools and iteration budget. Results are merged back up the tree, which gives the system unusual fault tolerance — if one branch fails, siblings can still complete the job.

Because it is a self-hosted Python project (pip install -e . or a Docker image), you keep full control of your data and can pair it with whatever model you prefer. The README recommends combinations of commercial models such as Claude 3.5/3.7 and Gemini 2.5 Pro with locally served open-source models via Ollama, LiteLLM or LM Studio for cost efficiency. Recent releases added MCP tool support and a practical voice-dialogue mode built on ChatTTS.

Typical strengths include thematic research on specialised subjects, reading and analysing papers and articles, automated coding and script execution, system management tasks, and rich multi-modal output in a browser UI with images, video, audio, LaTeX and downloadable files. The project is MIT-licensed and actively maintained on GitHub, with releases and documentation updates continuing into 2025.

**Pricing & Plans:** AIlice itself is free and open source under the MIT license — you pay only for the LLM inference you connect (for example API usage with Claude or Gemini). A hosted option built on AIlice is available at kragent.ai, where you can bring your own API key.

- **Interactive Agents Call Tree (IACT):** A natural, fault-tolerant architecture that dynamically builds a tree of specialised agents to decompose and complete complex multi-step tasks.
- **Local-first and model-agnostic:** Run it self-hosted on your own hardware and plug in open-source models via Ollama, LiteLLM or LM Studio, or commercial models such as Claude and Gemini.
- **Coding and system management:** Acts as a comprehensive coder and an AI-powered operating system layer, writing and executing scripts to automate programming and system tasks.
- **Multimodal output and rich media UI:** Browser interface supports images, video, audio, LaTeX formulas, syntax-highlighted code and file upload/download across all agents.
- **Voice dialogue and MCP tools:** Practical speech interaction powered by ChatTTS plus Model Context Protocol tool support for connecting external capabilities.
- **Self-expanding modules:** The agent can construct and dynamically load new modules to interact with its environment, opening the door to ongoing feature extension.

**Strengths:** Fully open source and MIT-licensed, so you can inspect, fork and extend it; Local-first design keeps sensitive data on your own machine; Model-agnostic: works with open-source and commercial LLMs; IACT architecture tolerates failures better than linear agent chains

**Limitations:** Installation and model configuration require command-line comfort; Task quality depends heavily on the LLM you connect, and strong models cost money; No managed cloud version with guaranteed uptime — the hosted playground is a separate third-party platform; Documentation is aimed at developers rather than casual users

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

AIlice has 0 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AIlice has a month-over-month growth rate of —; DeepSeek has +4.3%.

### How does pricing compare?

AIlice: Free. AIlice itself is free and open source under the MIT license — you pay only for the LLM inference you connect (for example API usage with Claude or Gemini). A hosted option built on AIlice is available at kragent.ai, where you can bring your own API key. 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 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general-purpose AI agent that executes tasks, not just answers them | [.md](https://openaitools.app/tool/manus.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) |

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

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