# Qwen 4 (Alibaba Qwen4) vs Supernormal

Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% month-over-month growth and Freemium pricing. Supernormal records 107,771 monthly visits with -13.5% growth and Freemium, Free Trial pricing.

| Metric | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | [Supernormal](https://openaitools.app/tool/supernormal) |
| :--- | :--- | :--- |
| Website URL | https://qwen.ai | https://supernormal.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant | AI Workflow, AI Transcription, AI Note Taker, AI Blog Generator |
| Pricing Model | Freemium | Freemium, Free Trial |
| Monthly Visits | 35,101,353 | 107,771 |
| MoM Growth Rate | -6.2% | -13.5% |
| Primary Market | Russia | United States |
| Direct Visits | 25,020,350 | 74,487 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 1,180 | 2 |
| Supported Platforms | Website, API, Open Source | Website |

## 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)

## Supernormal

Supernormal positions itself as an AI agent platform for agencies. Instead of only producing a transcript and a summary, it focuses on the handoff between a meeting and the work that follows: the platform reads your meeting notes together with any documents or emails you attach, then drafts the artifacts a client engagement needs — proposals, creative briefs, one-pagers, pitch decks, presentations and campaign visuals.

The meeting capture layer is designed to work without a bot appearing in the call, and the company says its notetaker is used by hundreds of thousands of organizations. Beyond meetings, Supernormal bundles tied AI tools for slides, documents, spreadsheets and images, so a single meeting can feed multiple output formats. An MCP integration and a library of reusable templates (for example a discovery call into a proposal, or a kickoff into a creative brief) let teams standardize how output gets produced.

Pricing is freemium with a paid upgrade and an app-based sign-up flow, and desktop apps are available for macOS and Windows. Because the product is a commercial SaaS that has raised venture funding and maintains active help, blog and product-update channels, treat the specific plan limits as subject to change and check the pricing page before committing.

**Pricing & Plans:** Freemium model with a free entry tier and paid plans, plus a trial path for the broader feature set. Check supernormal.com/pricing for current tiers and limits, since plans change over time.

- **Bot-free meeting notetaker:** Captures and transcribes calls without a participant bot showing up in the meeting, so client conversations feel natural.
- **AI deliverables from meeting notes:** Turns a meeting plus attached context into proposals, one-pagers, creative briefs and other client-ready documents.
- **AI slides and presentations:** Generates pitch decks and presentations from brainstorms, kickoffs and strategy sessions.
- **AI spreadsheets and images:** Produces structured spreadsheets and campaign visuals such as Instagram imagery from briefs and meeting context.
- **Templates and MCP integration:** Reusable templates standardize common workflows, while an MCP server connects Supernormal to other AI tooling.

**Strengths:** Focused on agency and client work rather than generic note-taking; No meeting bot joining calls keeps client conversations unobtrusive; Wide output range: documents, slides, spreadsheets and images in one place; Template library and MCP support fit repeatable team workflows

**Limitations:** Value depends on adopting its deliverables workflow, not just transcription; Advanced features sit behind paid tiers; Some output quality will still need human review before client delivery

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

## Frequently Asked Questions

### How do Qwen 4 (Alibaba Qwen4) and Supernormal compare in monthly traffic?

Qwen 4 (Alibaba Qwen4) has 35,101,353 monthly visits, while Supernormal has 107,771. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Qwen 4 (Alibaba Qwen4) has a month-over-month growth rate of -6.2%; Supernormal has -13.5%.

### How does pricing compare?

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). Supernormal: Freemium, Free Trial. Freemium model with a free entry tier and paid plans, plus a trial path for the broader feature set. Check supernormal.com/pricing for current tiers and limits, since plans change over time.

## 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 | [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | +9.6% | Freemium | AI meeting agent that transcribes, summarises, and turns every conversation into searchable knowledge | [.md](https://openaitools.app/tool/otter-ai.md) |
| 5 | [NoteGPT](https://openaitools.app/tool/notegpt) | 6,166,674 | -10.6% | Freemium | An AI agent that summarizes, transcribes, and turns your ideas into slides, docs, and media | [.md](https://openaitools.app/tool/notegpt.md) |
| 6 | [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) |
| 7 | [Fathom](https://openaitools.app/tool/fathom-2-0) | 5,620,385 | +0.2% | Freemium, Free Trial | AI notetaker that records, transcribes and summarizes meetings — bot-free | [.md](https://openaitools.app/tool/fathom-2-0.md) |
| 8 | [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) |
| 9 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 10 | [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) |

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

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