# LoopCV vs Qwen 4 (Alibaba Qwen4)

LoopCV records 347,201 monthly visits with -6.6% month-over-month growth and Freemium, Paid pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing.

| Metric | [LoopCV](https://openaitools.app/tool/loopcv) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://loopcv.pro | https://qwen.ai |
| Categories | AI Jobs, AI Resume Builder, AI Resume Checker, AI Cover Letter Generator | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Freemium, Paid | Freemium |
| Monthly Visits | 347,201 | 35,101,353 |
| MoM Growth Rate | -6.6% | -6.2% |
| Primary Market | United States | Russia |
| Direct Visits | 108,182 | 25,020,350 |
| Review Score | 3.9 | 4.7 |
| Saved Count | 0 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## LoopCV

LoopCV is built around a simple idea: the job hunt is mostly repetition, so let automation handle the repetition and let the candidate handle the decisions. You create a "loop" — a saved search that combines target job titles, locations, seniority, keywords and companies to exclude — then upload one or more CVs. LoopCV continuously pulls new postings from multiple job boards and hidden career pages, matches them against your loop, and either applies automatically or queues them for one-click review, depending on how much control you want.

Beyond submission, the platform layers on outreach and optimization tooling. It can find recruiter email addresses, send personalised messages using templates you write or prebuilt ones, and report on opens, replies and which CV version performs best. A CV checker and CV builder help you fix formatting problems and produce tailored variants you can A/B test, while the application tracker keeps every submission, status and follow-up in a single place. A companion browser extension covers LinkedIn and job pages that resist form-based automation.

Pricing is freemium: there is a free entry tier and paid plans for higher application volume, more automation and advanced analytics. LoopCV also exposes its capabilities to developers and career services through an API and white-label options. Results depend heavily on role, market and CV quality, so treat interview-rate claims as marketing rather than a guarantee.

**Pricing & Plans:** Freemium with a free entry plan and paid tiers that unlock higher application volumes, more automation and advanced analytics; check the pricing page for current figures.

- **Automated job applications:** Saved loops of job titles, locations and filters are matched against new postings, which LoopCV then submits on your behalf or queues for one-click approval.
- **Recruiter email outreach:** Finds recruiter email addresses, sends personalised messages built from your own or prebuilt templates, and reports opens and replies.
- **CV checker and CV builder:** Audits your resume for format and keyword issues, then helps you produce tailored variants you can compare against each other.
- **Application tracker:** Keeps every application, its status and follow-up history in one dashboard instead of scattered spreadsheets.
- **Job aggregator and LinkedIn extension:** Pulls listings from many job boards and hidden career pages, with a browser extension for LinkedIn and other form-hostile sites.

**Strengths:** Automates both applications and recruiter outreach, so one tool covers two of the most time-consuming tasks; Centralises loops, CV variants, applications and analytics in a single dashboard; Browser extension fills gaps on sites that block automated form submission; Freemium entry point lets you test the workflow before paying

**Limitations:** Automated applications can feel impersonal if you do not review your CV quality; Interview-rate claims are marketing figures and vary widely by industry and region; Best results require tuning filters and CVs, so it is not entirely hands-off

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

LoopCV has 347,201 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?

LoopCV has a month-over-month growth rate of -6.6%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

LoopCV: Freemium, Paid. Freemium with a free entry plan and paid tiers that unlock higher application volumes, more automation and advanced analytics; check the pricing page for current figures. 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 | [Jobright.ai](https://openaitools.app/tool/jobright-ai) | 6,706,088 | +3.8% | Free Trial | Offers an interactive AI job search copilot with networking suggestions, but lacks LoopCV’s fully autonomous batch application execution. | [.md](https://openaitools.app/tool/jobright-ai.md) |
| 5 | [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) |
| 6 | [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) |
| 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 | [Simplify](https://openaitools.app/tool/simplify) | 2,140,099 | -10.2% | Freemium | Provides strong browser extension autofill and role matching, but focuses more on manual application assistance than bulk automated submissions. | [.md](https://openaitools.app/tool/simplify.md) |
| 9 | [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) |
| 10 | [AIApply](https://openaitools.app/tool/roast-your-linkedin-profile-free) | 1,606,159 | +6% | Paid | Automates job applications and resume tailoring similarly, but includes broader multi-channel document and cover letter creation tools. | [.md](https://openaitools.app/tool/roast-your-linkedin-profile-free.md) |

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

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