# Padmalink vs Qwen 4 (Alibaba Qwen4)

Padmalink records 0 monthly visits with — 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 | [Padmalink](https://openaitools.app/tool/padmalink) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://chrome.google.com/webstore/detail/padmalinkio/idobcgmaolikfikdejfdklicpfccgdal | https://qwen.ai |
| Categories | AI Lead Generation, AI Recruiting, AI Sales, AI Social Media | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 0 | 35,101,353 |
| MoM Growth Rate | — | -6.2% |
| Primary Market | Global | Russia |
| Direct Visits | 0 | 25,020,350 |
| Review Score | 4.2 | 4.7 |
| Saved Count | 2 | 1,180 |
| Supported Platforms | Browser Extension | Website, API, Open Source |

## Padmalink

Padmalink positions itself as an all-in-one sales solution for teams that live on LinkedIn. The core engine is a Chrome extension that performs human-like prospecting activity on your account: automated profile visits (up to roughly 140 per week), personalized connection requests, and multi-step message sequences of up to four stages with AI-adapted timing and content. Rather than blasting generic templates, Padmalink uses AI to contextualize each message against the prospect's profile, and it randomizes delays and respects LinkedIn quotas to keep the account safe.

Around that automation sits a real CRM. Prospects extracted from LinkedIn — name, role, company, email — are captured, enriched and tagged, then kept in a pipeline so you can follow up, track acceptances and avoid re-contacting people you have already approached. Advanced targeting supports 20+ filters and Sales Navigator list imports, and scheduling logic sends actions at the times your targets are most likely to engage.

The company also runs the PADMA Club, a business and tech community with an intelligent feed, AI matching and video meetings with transcription. Padmalink is built in France and advertises GDPR compliance, so data handling is framed around European expectations. Pricing is quote or plan based and is not published on the site's public pages we could reach.

**Pricing & Plans:** Paid commercial product. Padmalink does not publish a public self-serve price list on the pages we could reach; plans are presented as the platform's LinkedIn prospecting suite, and a licence number is issued by email after signup to unlock the Chrome extension. Contact the vendor for current pricing.

- **LinkedIn automation engine:** Automate profile visits, personalized connection requests and multi-step follow-up sequences directly inside LinkedIn, with randomized timing and quota management to mimic natural activity.
- **AI message generation:** Let AI draft prospecting messages tailored to each prospect's profile, with selectable tones and automatic contextualization intended to lift reply rates.
- **Prospect extraction and tagging:** Capture LinkedIn contact details such as name, role, company and email, enrich them automatically and organize them with unlimited custom tags and CSV or Excel export.
- **Advanced targeting:** Build precise audiences using 20+ filter criteria including industry, role, company size, location and tenure, and import lists straight from Sales Navigator while excluding people already contacted.
- **Built-in B2B CRM:** Track leads and clients in one place so automation output feeds a pipeline instead of a spreadsheet, with acceptance tracking and follow-up visibility.

**Strengths:** Combines LinkedIn automation and a CRM in a single subscription instead of stitching two tools together; AI-generated, contextualized messages rather than one-size-fits-all templates; Explicit account-safety design: quota management, delay randomization and simulated human activity; European vendor advertising GDPR compliance, which matters for EU sales teams

**Limitations:** Interface and much of the documentation are primarily in French, which can slow English-speaking onboarding; No transparent public price list, so buyers must contact sales before evaluating cost

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

Padmalink has 0 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?

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

### How does pricing compare?

Padmalink: Paid. Paid commercial product. Padmalink does not publish a public self-serve price list on the pages we could reach; plans are presented as the platform's LinkedIn prospecting suite, and a licence number is issued by email after signup to unlock the Chrome extension. Contact the vendor for current pricing. 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 | [Instantly](https://openaitools.app/tool/instantly) | 2,336,279 | +6% | Paid, Contact for Pricing | Sales engagement platform with AI agents for lead finding, outreach and deliverability | [.md](https://openaitools.app/tool/instantly.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 | [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) |

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