# GetFloorPlan vs Qwen 4 (Alibaba Qwen4)

GetFloorPlan records 11,127 monthly visits with +17.8% 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 | [GetFloorPlan](https://openaitools.app/tool/getfloorplan) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://getfloorplan.com | https://qwen.ai |
| Categories | AI Floor Plan Generator, AI Interior Design, AI 3D Model Generator | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 11,127 | 35,101,353 |
| MoM Growth Rate | +17.8% | -6.2% |
| Primary Market | Vietnam | Russia |
| Direct Visits | 4,526 | 25,020,350 |
| Review Score | 4 | 4.7 |
| Saved Count | 12 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## GetFloorPlan

GetFloorPlan solves a specific, practical problem in real-estate marketing: most properties come with a flat 2D floor plan, which communicates layout but does nothing for emotional appeal. Buyers and renters struggle to translate an outline of walls into a sense of space. GetFloorPlan takes that existing 2D plan and produces a 3D rendering of the same layout, with furniture placed in it and a virtual tour that lets viewers walk the space.

The workflow is designed to avoid special software or 3D modelling skills. You supply the plan you already have, and the service returns presentation-ready visual assets that can be dropped into property listings, brochures and website pages. That makes it useful for off-plan developments, renovation listings, and any situation where photographing the space is impractical or premature.

Because it is a rendering service rather than a CAD authoring tool, it best suits teams that need marketing output quickly at volume. The site is a commercial paid service with a JavaScript-driven interface, so the exact package structure and turnaround options are best confirmed directly on the site before ordering.

**Pricing & Plans:** GetFloorPlan is positioned as a paid service rather than a free tool. Pricing is structured around the renderings and virtual tours you order; check the site for the current package tiers, per-plan rates and turnaround times, as these are not fully specified in the public page metadata.

- **2D to 3D floor plan conversion:** Upload an existing 2D floor plan and receive a 3D-rendered version of the same layout instead of redrawing it from scratch.
- **Furnished renderings:** Renderings include furniture and interior detail so empty plans look like liveable, marketable spaces.
- **Virtual tours:** Turn a static layout into an interactive walkthrough that lets buyers and renters explore the property online.
- **No 3D software required:** The service is built for agents, developers and marketers rather than 3D artists, so no modelling skills or CAD licence are needed.
- **Listing-ready output:** Results are designed to be dropped straight into property listings, brochures and marketing pages.

**Strengths:** Removes the need for 3D modelling skills or CAD software; Furnished renderings make empty plans far more persuasive in listings; Virtual tours add an interactive layer that static floor plans cannot provide; Works from the 2D plan you already have, so there is no measurement work to redo

**Limitations:** It is a paid service, so costs scale with the number of plans you convert; Output quality depends on the clarity and accuracy of the 2D plan you supply; The homepage requires JavaScript, so details only appear after loading the app

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

GetFloorPlan has 11,127 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?

GetFloorPlan has a month-over-month growth rate of +17.8%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

GetFloorPlan: Paid. GetFloorPlan is positioned as a paid service rather than a free tool. Pricing is structured around the renderings and virtual tours you order; check the site for the current package tiers, per-plan rates and turnaround times, as these are not fully specified in the public page metadata. 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 | [Planner 5D AI](https://openaitools.app/tool/planner-5d) | 3,110,494 | -7.7% | Freemium | Turn floor plans and photos into editable 3D home designs with AI | [.md](https://openaitools.app/tool/planner-5d.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 | [Coohom](https://openaitools.app/tool/coohom-3d-home-interior-design-ai-tool) | 1,014,500 | -13.1% | Freemium, Free Trial, Paid, Contact for Pricing | Free online 3D home design, floor planning and AI rendering | [.md](https://openaitools.app/tool/coohom-3d-home-interior-design-ai-tool.md) |

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

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