# 30DaysOfAI (100 School AI Challenge) vs Qwen 4 (Alibaba Qwen4) 30DaysOfAI (100 School AI Challenge) records 26,006 monthly visits with +591.8% month-over-month growth and Freemium pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing. | Metric | [30DaysOfAI (100 School AI Challenge)](https://openaitools.app/tool/30daysofai) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | | :--- | :--- | :--- | | Website URL | https://www.100school.com/ai-challenge | https://qwen.ai | | Categories | AI Course, Prompt Engineering, AI Coaching, AI Tutorial | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant | | Pricing Model | Freemium | Freemium | | Monthly Visits | 26,006 | 35,101,353 | | MoM Growth Rate | +591.8% | -6.2% | | Primary Market | United Kingdom | Russia | | Direct Visits | 17,968 | 25,020,350 | | Review Score | 3.9 | 4.7 | | Saved Count | 0 | 1,180 | | Supported Platforms | Website | Website, API, Open Source | ## 30DaysOfAI (100 School AI Challenge) 30 Days of AI is the flagship learning challenge from 100 School, a training company that helps professionals and teams build working AI capability. Rather than a long video course, it is delivered as a sequence of short daily emails: you receive a lesson on a weekday morning, apply it to a real task that day, and return the next morning for the next building block. The structure is designed to break the loop of endless tutorials by forcing small amounts of deliberate practice. The curriculum moves through three broad arcs. It starts with how AI systems actually work and how to spot useful opportunities in your own role, then progresses to building: drafting, analysing, automating and prototyping with AI as a co-pilot, and finally to making AI a durable part of your daily rhythm through repeatable systems and habits. The goal is not tool trivia but judgement — the ability to pick up any AI product and use it competently. The challenge is oriented toward individuals but is also packaged for organisations that need to raise AI literacy across a whole team, with a sales-led track for company-wide rollouts. Because lessons are emailed, no software install or special account is required beyond signing up with a work email address. **Pricing & Plans:** The email challenge is free to join for individuals — you sign up with your name, company website and email. Team and enterprise rollouts are quoted separately through a sales conversation; specific team pricing is not published on the site. - **Daily emailed lessons:** A new short lesson lands in your inbox every weekday morning, so progress fits around a working day instead of competing with it. - **Three-phase curriculum:** Think with AI, build with AI and work with AI: a progression from fundamentals to automation to lasting habits, rather than a random tour of tools. - **Applied real-work tasks:** Each lesson asks you to use AI on something from your actual role, so you finish with artefacts and workflows you can keep using. - **Team programs:** Structured rollouts bring the same curriculum to a whole organisation with accountability and shared momentum, arranged via a sales conversation. - **Large peer community:** You learn alongside thousands of other professionals going through the same challenge, with supporting insights and case studies from 100 School. **Strengths:** Very low time commitment: roughly fifteen minutes per day, five days a week; Email delivery means no new app to install or platform to learn; Curriculum is practice-first, with tasks tied to your own real work; Free for individual learners, with a straight path to team programs **Limitations:** The current format is 15 days rather than the original 30, so expectations should be reset; No interactive live instruction is included at the individual level; Advanced or highly technical AI topics are out of scope [Profile (Markdown)](https://openaitools.app/tool/30daysofai.md) ## Qwen 4 (Alibaba Qwen4) Qwen 4 (also known as Qwen4 or Tongyi Qianwen 4) is Alibaba Cloud's fourth-generation foundation model family and multimodal AI assistant platform accessible at qwen.ai and chat.qwen.ai. Formally unveiled in training at the Hangzhou Apsara Conference on September 22, 2026 and detailed on stage at Apsara Amsterdam on October 29, 2026, Qwen 4 spearheads Alibaba's full-stack AI roadmap that scales toward 5 to 10 trillion parameters in the upcoming Qwen 4.5 and Qwen 5 generations. The Qwen 4 series is organized into four core deployment tiers—Qwen4-Max (flagship frontier reasoning model), Qwen4-Plus (balanced enterprise API workhorse), Qwen4-Flash (low-latency, high-throughput model), and Qwen4-27B (a 27-billion-parameter open-weight model engineered to run locally on consumer PCs and single-GPU workstations)—alongside specialized variants spotted in official Qwen Code repositories such as qwen4-coder-plus and qwen4-omni-120b-think. Architecturally, Qwen 4 builds on the foundation previewed in August 2026's Qwen3.8-Flash-Next: a hybrid Gated DeltaNet + Gated Attention sparse Mixture-of-Experts (MoE) design (125B total parameters with just 6B active per token and a 51B n-gram embedding lookup layer) paired with a 1-million-token context window and Recursive Self-Improvement (RSI) post-training. For developers, enterprises, and everyday users, the Qwen platform offers a completely free web and mobile workspace at chat.qwen.ai featuring Deep Research, Web Dev Artifacts, live search, and native image/video/audio generation (Qwen-Image 3.1 and Qwen-Audio 3.1), while open-weight checkpoints are distributed on Hugging Face, ModelScope, and Ollama alongside commercial API hosting on Alibaba Cloud Model Studio. **Pricing & Plans:** Free multimodal web & mobile chat at chat.qwen.ai; Apache 2.0 open-weight local models (Qwen4-27B & Qwen3.8-Flash-Next architecture preview) free on Hugging Face and Ollama; commercial API on Alibaba Cloud Model Studio (~$0.15 / $0.47 per 1M tokens on Flash tiers and ~$2.00 / $6.00 per 1M tokens on Max tiers). - **Four-Tier Qwen 4 Model Lineup (Max, Plus, Flash & 27B):** Covers every compute envelope from the multi-trillion-scale Qwen4-Max flagship and Qwen4-Plus/Flash APIs to the local PC-friendly Qwen4-27B open-weight checkpoint, plus qwen4-coder-plus and qwen4-omni-120b-think. - **Hybrid Gated DeltaNet + Sparse MoE & N-Gram Memory:** Pioneered in the Qwen3.8-Flash-Next architecture preview, combining ultra-lean active parameter routing (6B active out of 125B) with a 51B n-gram embedding layer that trades compute for instant memorized lookup. - **1-Million-Token Context Window Across Modalities:** Sizes the Qwen 4 generation at a full 1M-token context window across text, code, images, audio, and video for repository-wide coding and cross-document reasoning. - **Recursive Self-Improvement (RSI) & Agentic Tool Use:** Trained via multi-cycle automated Recursive Self-Improvement across coding, math, and hardware EDA workflows—demonstrating 10,000+ autonomous tool calls in chip design and software engineering. - **Free Qwen Chat Workspace & Open-Weight Ecosystem:** Provides free access at chat.qwen.ai with Web Dev Artifacts, Deep Research, Qwen-Image 3.1, and Qwen-Audio 3.1, plus one-command local deployment via Ollama, vLLM, and Hugging Face. **Strengths:** Complete 4-tier ecosystem spanning cloud flagships (Qwen4-Max/Plus/Flash) and consumer-GPU open weights (Qwen4-27B); Breakthrough Gated DeltaNet + 51B n-gram memory MoE architecture delivers frontier quality at a fraction of active inference compute; 1-million-token context window and native multimodal support across text, code, vision, audio, and video; Free full-featured web assistant at chat.qwen.ai with no mandatory subscription wall for everyday research and coding **Limitations:** Staged late-2026 rollout following Apsara Hangzhou (Sept 22) and Amsterdam (Oct 29) means flagship Qwen4-Max weights and APIs release progressively after the Qwen3.8-Flash-Next architecture preview; Largest Qwen4-Max and upcoming 5–10T parameter Qwen 4.5/5 models require cloud APIs or multi-node enterprise GPU clusters; Brand split between international Qwen (qwen.ai / Model Studio) and domestic Tongyi Qianwen can confuse first-time API adopters [Profile (Markdown)](https://openaitools.app/tool/qwen-4.md) ## Frequently Asked Questions ### How do 30DaysOfAI (100 School AI Challenge) and Qwen 4 (Alibaba Qwen4) compare in monthly traffic? 30DaysOfAI (100 School AI Challenge) has 26,006 monthly visits, while Qwen 4 (Alibaba Qwen4) has 35,101,353. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? 30DaysOfAI (100 School AI Challenge) has a month-over-month growth rate of +591.8%; Qwen 4 (Alibaba Qwen4) has -6.2%. ### How does pricing compare? 30DaysOfAI (100 School AI Challenge): Freemium. The email challenge is free to join for individuals — you sign up with your name, company website and email. Team and enterprise rollouts are quoted separately through a sales conversation; specific team pricing is not published on the site. Qwen 4 (Alibaba Qwen4): Freemium. Free multimodal web & mobile chat at chat.qwen.ai; Apache 2.0 open-weight local models (Qwen4-27B & Qwen3.8-Flash-Next architecture preview) free on Hugging Face and Ollama; commercial API on Alibaba Cloud Model Studio (~$0.15 / $0.47 per 1M tokens on Flash tiers and ~$2.00 / $6.00 per 1M tokens on Max tiers). ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | Provides state-of-the-art open-weight reasoning models and low-cost APIs, but with less emphasis on multimodal Alibaba ecosystem tools. | [.md](https://openaitools.app/tool/deepseek.md) | | 2 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides robust developer tools and multimodal APIs, but relies on Google's closed Gemini models rather than open-weight alternatives. | [.md](https://openaitools.app/tool/google-ai-studio.md) | | 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates hundreds of models behind one API gateway, but functions as a router rather than hosting native Qwen infrastructure. | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 4 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Offers competing Chinese foundation model APIs and agent builders, but specializes in Zhipu AI's GLM architecture. | [.md](https://openaitools.app/tool/bigmodel.md) | | 5 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Provides lightweight open-weight models for local deployment, but offers smaller parameter sizes compared to top-tier Qwen variants. | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) | | 6 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Delivers ultra-fast inference speeds using custom LPU hardware, but supports a more limited selection of open models. | [.md](https://openaitools.app/tool/groq.md) | | 7 | [DeepLearning.AI](https://openaitools.app/tool/deeplearning-ai) | 2,562,512 | -7.2% | Freemium | AI engineering courses, certificates, and the world's biggest AI newsletter | [.md](https://openaitools.app/tool/deeplearning-ai.md) | | 8 | [FlowGPT](https://openaitools.app/tool/flowgpt) | 1,761,490 | +13.3% | Freemium | A community library of AI prompts and chatbots you can chat with instantly | [.md](https://openaitools.app/tool/flowgpt.md) | | 9 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Offers robust serverless APIs for open-source models, but lacks native training integrations specific to Alibaba's ecosystem. | [.md](https://openaitools.app/tool/together-ai.md) | | 10 | [Tencent Hunyuan](https://openaitools.app/tool/tencent-hunyuan-large-model) | 1,485,463 | -1.2% | Contact for Pricing | Provides comparable multimodal foundation model APIs from a major tech giant, but utilizes Tencent's proprietary Hunyuan architecture. | [.md](https://openaitools.app/tool/tencent-hunyuan-large-model.md) | --- Source: https://openaitools.app/compare/30daysofai-vs-qwen-4 More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)