# Goodnotes vs Qwen 4 (Alibaba Qwen4)

Goodnotes records 3,227,341 monthly visits with +10.8% month-over-month growth and Freemium, Free Trial pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing.

| Metric | [Goodnotes](https://openaitools.app/tool/goodnotes) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://goodnotes.com | https://qwen.ai |
| Categories | AI Note Taker, AI Spell Check, AI Writing Assistants | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Freemium, Free Trial | Freemium |
| Monthly Visits | 3,227,341 | 35,101,353 |
| MoM Growth Rate | +10.8% | -6.2% |
| Primary Market | United States | Russia |
| Direct Visits | 1,638,916 | 25,020,350 |
| Review Score | 4.4 | 4.7 |
| Saved Count | 2 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## Goodnotes

Goodnotes is a digital note-taking app designed around the feel of writing on paper, then extended with everything a paper notebook cannot do. The core notebook experience uses a low-latency ink engine so handwriting feels natural on a tablet with a stylus. You can rest your hand on the screen, cross out to erase, and convert handwritten text into typed characters when you need something searchable or exportable.

Around that core sits a flexible document workspace. The app handles PDF annotation, typed documents, infinite whiteboards, imported images, and recorded audio in the same environment, so a meeting, lecture, or project space can mix formats without switching tools. Notes and documents sync across iPad, iPhone, Android, Windows, and the web, letting you start a page on a tablet and finish it at a desk.

Goodnotes also layers in AI and collaboration. AI-powered search looks across typed text, handwriting, and sketches at once, and can turn a page of notes into a mind map, a summary, or a project plan with action items. Real-time collaboration, shared notebooks, and education-focused deployments make it a practical fit for students, teachers, and knowledge-heavy teams in fields like architecture, engineering, legal, and consulting.

**Pricing & Plans:** Freemium with a free tier and paid subscription plans, plus separate offerings for education and business. A free trial is available; exact regional prices are listed on the official pricing page.

- **Natural handwriting engine:** Low-latency ink with palm rejection, cross-out to erase, and handwriting-to-text conversion keeps writing close to pen on paper.
- **PDF annotation and markup:** Import contracts, papers, or textbooks and mark them up by hand, with searchable annotations and clean exports.
- **AI search and transformation:** Search across typed text, handwriting, and sketches, and turn notes into summaries, mind maps, or structured plans.
- **Real-time collaboration:** Work together in shared notebooks, documents, and whiteboards simultaneously, without version conflicts or file ping-pong.
- **Cross-device sync:** Continue the same notebook on tablet, phone, desktop, or web so notes follow you between work and study settings.

**Strengths:** Best-in-class handwriting feel makes the transition from paper notebooks easy; Combines notebooks, PDFs, whiteboards, and audio in a single app; AI search reads handwriting and sketches, not just typed text; Broad device support with reliable cross-platform syncing

**Limitations:** The best features sit behind the paid subscription or one-time purchase; Advanced AI and collaboration features require an account and internet connection; Heavy notebooks with large PDFs can be slow on older devices

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

Goodnotes has 3,227,341 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?

Goodnotes has a month-over-month growth rate of +10.8%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

Goodnotes: Freemium, Free Trial. Freemium with a free tier and paid subscription plans, plus separate offerings for education and business. A free trial is available; exact regional prices are listed on the official 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 | [Knowt](https://openaitools.app/tool/knowt-com) | 4,183,953 | +5.4% | Free | Excels at automatically generating flashcards and practice quizzes from study notes, but lacks freehand drawing features. | [.md](https://openaitools.app/tool/knowt-com.md) |
| 7 | [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) |
| 8 | [StudyFetch](https://openaitools.app/tool/study-fetch) | 1,750,520 | +1.7% | Freemium | Turns course materials into interactive AI study tools, but focuses less on handwritten digital notebooks. | [.md](https://openaitools.app/tool/study-fetch.md) |
| 9 | [LightPDF](https://openaitools.app/tool/lightpdf-com) | 1,742,568 | -15.3% | Freemium | Stronger online PDF editing and AI chat capabilities, but lacks tablet-optimized handwritten note-taking workflows. | [.md](https://openaitools.app/tool/lightpdf-com.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/goodnotes-vs-qwen-4

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