# Qwen 4 (Alibaba Qwen4) vs Scribble Network

Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% month-over-month growth and Freemium pricing. Scribble Network records 26,799 monthly visits with -2.1% growth and Free Trial, Paid pricing.

| Metric | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | [Scribble Network](https://openaitools.app/tool/scribble-network) |
| :--- | :--- | :--- |
| Website URL | https://qwen.ai | https://scribble.network |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant | AI SEO Tools, AI Marketing, AI Digital Marketing, AI Monitor |
| Pricing Model | Freemium | Free Trial, Paid |
| Monthly Visits | 35,101,353 | 26,799 |
| MoM Growth Rate | -6.2% | -2.1% |
| Primary Market | Russia | India |
| Direct Visits | 25,020,350 | 11,685 |
| Review Score | 4.7 | 4 |
| Saved Count | 1,180 | 0 |
| 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)

## Scribble Network

Scribble addresses a problem that traditional SEO reporting cannot solve: AI assistants do not rank your website the way Google does, they pull from what third parties say about you across the web. The platform starts with an audit. You enter your domain and it builds the queries your buyers actually ask AI, then measures your share of answers — the citation share — across five models: ChatGPT, Gemini, Perplexity, Copilot and Grok. A dashboard breaks that down per model, topic and time, with competitor benchmarking showing who AI recommends instead of you, on which queries and by how much.

The second half of the loop is creation and amplification. A Content Hub ingests your site, blog and documentation, then builds citation-ready pages that are interlinked and structured for AI readability so they can go live on your own domain. A Conversation Radar watches discussions where your brand should appear before a competitor does, and tracks every creator piece from publication through to the AI answer it eventually influences.

The most distinctive piece is the creator bounty network. Scribble turns your biggest citation gaps into paid briefs that roughly 50,000 creators compete for, publishing on the platforms AI models actively read: X, Medium, Substack, Paragraph, Reddit, YouTube, Instagram and Quora. Importantly, creators are scored by citation history rather than follower count, and Scribble pays when their piece actually gets cited by an AI assistant — not when it is published. RocketX, cited as a case study, moved from 2% to 20% citation share across 25 priority queries in three months.

**Pricing & Plans:** Scribble offers a free trial and paid plans; pricing details are published on its pricing page, with a contact-sales path for larger brands. Bounties are paid on performance — creators receive payment when their content is cited by an AI assistant. Exact plan tiers and credit costs were not confirmed during this review, so check the official pricing page.

- **Multi-model citation tracking:** Measure your share of AI answers for real buying queries across ChatGPT, Gemini, Perplexity, Copilot and Grok, tracked per model, topic and time.
- **Citation readiness score:** Audit your site to see exactly what is blocking AI from citing you compared with your competitors, alongside domain rating and referring domains.
- **Content Hub:** Feed in your site, blog and docs and Scribble builds interlinked, AI-readable pages that go live on your own domain.
- **Conversation Radar:** Spot the discussion threads where your brand should appear before a competitor does, and follow each creator piece from publish to AI answer.
- **Creator bounty marketplace:** Turn citation gaps into briefs that around 50,000 creators compete for, scored by citation history rather than follower count, with payment on citation.

**Strengths:** Covers the full loop — audit, create, amplify — instead of only reporting a visibility score; Tracks five assistants in one dashboard, including per-model citation share; Creator network scored by citation history, which rewards proven results over follower counts; Performance-based bounties mean spend is tied to actual AI citations

**Limitations:** Results are inherently gradual: most brands see movement within about 25 days, and compounding takes quarters; Claude was not yet supported at the time of review, so coverage is incomplete for some teams; Pricing tiers are not clearly visible without visiting the pricing page or contacting sales; Value depends on an active creator marketplace, so outcomes can vary by niche and topic

[Profile (Markdown)](https://openaitools.app/tool/scribble-network.md)

## Frequently Asked Questions

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

Qwen 4 (Alibaba Qwen4) has 35,101,353 monthly visits, while Scribble Network has 26,799. 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%; Scribble Network has -2.1%.

### 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). Scribble Network: Free Trial, Paid. Scribble offers a free trial and paid plans; pricing details are published on its pricing page, with a contact-sales path for larger brands. Bounties are paid on performance — creators receive payment when their content is cited by an AI assistant. Exact plan tiers and credit costs were not confirmed during this review, so check the official pricing page.

## 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 | [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) |
| 8 | [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) |
| 9 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Specializes in memory-efficient fine-tuning for open-weight models, but requires external infrastructure to deploy full production APIs. | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 10 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers exceptionally high-throughput inference for open-weight models, but focuses more on general open-source deployment than Qwen-specific tools. | [.md](https://openaitools.app/tool/fireworks-ai.md) |

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

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