# CodeFast vs Qwen 4 (Alibaba Qwen4)

CodeFast records 13,640 monthly visits with -63.8% month-over-month growth and Paid pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing.

| Metric | [CodeFast](https://openaitools.app/tool/codefast) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://codefa.st | https://qwen.ai |
| Categories | AI Course, AI Developer Tools, AI Copilot | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 13,640 | 35,101,353 |
| MoM Growth Rate | -63.8% | -6.2% |
| Primary Market | India | Russia |
| Direct Visits | 5,876 | 25,020,350 |
| Review Score | 4.4 | 4.7 |
| Saved Count | 0 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## CodeFast

CodeFast is a coding course written for entrepreneurs rather than job seekers. Its argument is that traditional courses are designed to prepare engineers for interviews — inverting binary trees, memorizing Big O notation, reading documentation longer than a novel — while a founder only needs the slice of web development required to build and launch an idea. The curriculum strips out that surplus and concentrates on what you will actually use when shipping a product.

The course runs about twelve hours of video across a fourteen-day structure. Day one is mindset and fundamentals: how to ship fast, how to make money with code, and the basics of HTTP, domains, HTML, CSS and JavaScript, framed so that you can tell an AI what to build. From there it builds a real SaaS — Next.js and React components, Tailwind CSS for design, MongoDB with API routes, magic link and Google OAuth authentication, a private user dashboard, Stripe and LemonSqueezy subscription payments, emails, custom domains and hosting, with Git and deployment covered along the way.

A distinct part of the pitch is how it frames AI. The course assumes 2026-era tooling where AI can explain code, fix bugs and write sections of your app, and its position is that this makes fundamentals more valuable rather than less: you cannot direct or debug an AI reliably if you do not understand what it is doing. Lessons on AI-powered coding and design sit alongside more conventional business material such as copywriting essentials and SEO. The course counts 4,483 enrolled entrepreneurs and is published by Marc Lou, who has built 25 small products and earned over $200,000 from SaaS.

**Pricing & Plans:** One-time paid course rather than a subscription. Enrollment grants instant lifetime access to the roughly twelve hours of video, with periodic promotional discounts such as the Thanksgiving sale advertised at 43% off. There is also an affiliate program paying up to $150 per referral. Exact pricing is shown on the site's pricing page.

- **Short, entrepreneur-focused curriculum:** Fundamentals, a full SaaS build, and the business side — payments, domains, hosting, SEO — are covered in about twelve hours of video instead of the dozens of hours a conventional JavaScript course spends on topics you will never use.
- **A real SaaS built step by step:** Rather than theory for interviews, you progressively build a real authenticated, paying SaaS, which is the actual deliverable of the course.
- **AI as a force multiplier:** Sections on AI-powered coding and design show how to use AI to explain code, fix bugs and generate parts of your app, framed as leverage on top of fundamentals.
- **Business skills alongside code:** The syllabus includes the non-coding skills that decide whether an app makes money: copywriting essentials, payments with Stripe and LemonSqueezy, domain and DNS setup, hosting and SEO.
- **Taught by a practicing indie maker:** The course is taught by an indie maker who has shipped 25 small products and earned over $200,000 from SaaS, with case studies from students who launched their own apps.

**Strengths:** Roughly twelve hours of video instead of the 60-plus hours a typical JavaScript course requires; Builds an actual authenticated, subscription-based SaaS rather than toy exercises; Covers business essentials — payments, domains, SEO, copywriting — not just syntax; Explicitly written for complete beginners with no prior experience

[Profile (Markdown)](https://openaitools.app/tool/codefast.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 CodeFast and Qwen 4 (Alibaba Qwen4) compare in monthly traffic?

CodeFast has 13,640 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?

CodeFast has a month-over-month growth rate of -63.8%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

CodeFast: Paid. One-time paid course rather than a subscription. Enrollment grants instant lifetime access to the roughly twelve hours of video, with periodic promotional discounts such as the Thanksgiving sale advertised at 43% off. There is also an affiliate program paying up to $150 per referral. Exact pricing is shown on the site's pricing page. 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 | [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) |
| 9 | [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) |
| 10 | [OpenAI Academy](https://openaitools.app/tool/openai-academy) | 937,379 | -6.3% | Free | Free courses, live events and community for building real AI skills | [.md](https://openaitools.app/tool/openai-academy.md) |

---
Source: https://openaitools.app/compare/codefast-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)