# NxCode vs Qwen 4 (Alibaba Qwen4)

NxCode records 227,078 monthly visits with -16% month-over-month growth and Freemium pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing.

| Metric | [NxCode](https://openaitools.app/tool/nxcode) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://www.nxcode.io | https://qwen.ai |
| Categories | AI App Builder, No-Code&Low-Code, AI Developer Tools, AI Code Generator | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 227,078 | 35,101,353 |
| MoM Growth Rate | -16% | -6.2% |
| Primary Market | South Korea | Russia |
| Direct Visits | 33,923 | 25,020,350 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 0 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## NxCode

NxCode positions itself as an AI development team that replaces the cost and delay of hiring engineers. Instead of building a prototype in a browser sandbox, it runs code inside isolated Docker containers and verifies each task against acceptance criteria, then automatically detects and fixes errors through several iterations before a project is marked finished. Completed apps can be deployed to the global Cloudflare edge network with a single click.

The platform is built around a dual-agent system called Conductor plus Virtuoso: one agent plans and orchestrates the work, while the other executes code and validates results. Pricing is credit-based, starting at $5 per month, and creators can also publish apps to an internal marketplace and keep a 70% share of the revenue those apps generate. A free account lets you plan an app and review a build plan at no cost, while building and publishing require a paid subscription.

**Pricing & Plans:** Credit-based freemium. A free account lets you plan an app and review a build plan. Paid plans start at Lite $5/month (200 monthly credits, 1 dev container, 3 deployments) and Pro $20/month (1,500 credits, 3 containers, 10 deployments, no watermark, project export). Enterprise pricing is custom with unlimited credits, dedicated support, SLA guarantees, and on-premise options. New users receive a first-recharge credit bonus.

- **Dual-agent build engine:** A Conductor agent plans and orchestrates tasks while a Virtuoso agent executes code, aiming to produce production-ready output rather than throwaway prototypes.
- **Real Docker execution:** Code runs in isolated development containers instead of a browser sandbox, so applications behave like real software throughout the build.
- **Automatic error detection and repair:** Every task is checked against acceptance criteria, and errors are found and fixed automatically for up to three iterations.
- **One-click global deployment:** Ship finished apps to Cloudflare's edge network from the dashboard, with deployment counts tied to your plan.
- **Creator marketplace with revenue share:** Publish apps to the NxCode marketplace and keep 70% of the revenue when other users pay for them.

**Strengths:** Plain-English input means no coding or development experience is required; Free planning and build-plan review lets you evaluate ideas before paying; Deployment, debugging, and infrastructure are handled inside the platform; Credit-based pricing starts low at $5 per month and scales with usage

**Limitations:** Building and publishing require a paid subscription, so the free tier is limited to planning; Credit overages on the entry plan can add up for large or complex projects; The platform is comparatively new, so long-term reliability and ecosystem depth are still evolving

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

NxCode has 227,078 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?

NxCode has a month-over-month growth rate of -16%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

NxCode: Freemium. Credit-based freemium. A free account lets you plan an app and review a build plan. Paid plans start at Lite $5/month (200 monthly credits, 1 dev container, 3 deployments) and Pro $20/month (1,500 credits, 3 containers, 10 deployments, no watermark, project export). Enterprise pricing is custom with unlimited credits, dedicated support, SLA guarantees, and on-premise options. New users receive a first-recharge credit bonus. 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 | [Lovable](https://openaitools.app/tool/lovable) | 31,052,090 | +3.8% | Freemium | Stronger full-stack React interface generation and UI customizability, but requires similar token management for complex apps. | [.md](https://openaitools.app/tool/lovable.md) |
| 4 | [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) |
| 5 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Stronger enterprise agent integrations and workflow automation, but less focused on rapid UI prototyping. | [.md](https://openaitools.app/tool/base44.md) |
| 6 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Includes robust cloud container hosting and terminal access, but has a steeper learning curve for beginners. | [.md](https://openaitools.app/tool/replit.md) |
| 7 | [Emergent](https://openaitools.app/tool/emergent) | 5,788,850 | +5% | Freemium | Seamlessly hosts web and mobile applications out of the box, but offers less granular backend code control. | [.md](https://openaitools.app/tool/emergent.md) |
| 8 | [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) |
| 9 | [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) |
| 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/nxcode-vs-qwen-4

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