# Qwen 4 (Alibaba Qwen4) vs StackAI

Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% month-over-month growth and Freemium pricing. StackAI records 1,137 monthly visits with -23.2% growth and Contact for Pricing, Free pricing.

| Metric | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | [StackAI](https://openaitools.app/tool/stack-ai-com) |
| :--- | :--- | :--- |
| Website URL | https://qwen.ai | https://www.stack-ai.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant | AI Agent, AI Chatbot, No-Code&Low-Code, Large Language Models (LLMs) |
| Pricing Model | Freemium | Contact for Pricing, Free |
| Monthly Visits | 35,101,353 | 1,137 |
| MoM Growth Rate | -6.2% | -23.2% |
| Primary Market | Russia | United States |
| Direct Visits | 25,020,350 | 451 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 1,180 | 2 |
| 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)

## StackAI

. What StackAI is

StackAI is an enterprise AI agent platform aimed at IT and enterprise architecture teams. It provides the building blocks to turn a manual, time-consuming process into a working agent in minutes: a visual canvas for composing agents and multi-step flows, modules for storage, vision, text-to-speech and speech-to-text, and code steps in Python or JavaScript when you need custom logic.

Agents are only as useful as the systems they can touch, so the platform ships with 500+ enterprise integrations that let an agent read, write and execute tasks inside your existing CRM, ticketing, document and collaboration tools. Knowledge bases can be grounded in your own material through document upload, web scraping, Google Drive and Notion connectors, with readers for PDF, Word and PowerPoint. Because it is model-agnostic, each step can route to whichever LLM performs best for that job.

Governance is the differentiator. StackAI is certified to SOC 2 Type II, HIPAA, GDPR and ISO 27001, offers SSO, access control and audit logs, and supports human review at critical decision points. It can run multi-tenant, in your VPC or fully on-premise. The company announced that it has been acquired by Asana, adding human-agent workflow management to the picture. Pricing is a $0 Free plan with 500 runs per month, 2 projects and 1 seat, and a custom Enterprise tier for teams that need unlimited scale, dedicated engineers and regulated deployment options.

**Pricing & Plans:** StackAI has a $0 Free plan that includes 500 runs per month, 2 projects and 1 seat with community support. The Enterprise tier is custom-priced and includes a custom number of runs and seats, unlimited projects, all features and data loaders, dedicated infrastructure and solution engineers, on-premise and VPC deployment, access control, SSO, and SOC 2 / HIPAA / GDPR compliance.

- **No-Code Agentic Workflows:** Assemble agents and multi-step flows on a visual canvas with modules for agents, storage, vision, text-to-speech and speech-to-text, then add Python or JavaScript logic when you need it.
- **500+ Enterprise Integrations:** Connect agents to 500+ enterprise systems so they can read, write and execute tasks inside your CRM, helpdesk, document stores and collaboration tools.
- **Knowledge Bases and Data Loaders:** Ground agents in your own material with document upload, web scraping, Google Drive and Notion connectors, and document readers for PDF, Word and PowerPoint.
- **Security, Governance and Deployment Choice:** Deploy in multi-tenant cloud, your own VPC or on-premise, with SSO, role-based access control, audit logs and human review at critical decision points.
- **Model-Agnostic LLM Routing:** Choose the best-performing model for each step of a workflow instead of standardising on a single provider.
- **Ready-Made Agent Templates:** Pre-built agents for SOW intake, service desk replies, anti-money-laundering screening, call compliance extraction and internal L&D Q&A.

**Strengths:** Visual no-code builder gets agents from process to production quickly; 500+ enterprise integrations let agents act inside existing systems; Model-agnostic routing across leading LLMs; SOC 2 Type II, HIPAA, GDPR and ISO 27001 certifications

**Limitations:** Advanced capabilities such as on-prem, VPC deployment and SSO are Enterprise-only; The free plan is tight at 500 runs per month, 2 projects and a single seat; No public self-serve mid-tier pricing between Free and Enterprise; Enterprise focus means more setup and governance overhead than a lightweight automation tool

[Profile (Markdown)](https://openaitools.app/tool/stack-ai-com.md)

## Frequently Asked Questions

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

Qwen 4 (Alibaba Qwen4) has 35,101,353 monthly visits, while StackAI has 1,137. 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%; StackAI has -23.2%.

### 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). StackAI: Contact for Pricing, Free. StackAI has a $0 Free plan that includes 500 runs per month, 2 projects and 1 seat with community support. The Enterprise tier is custom-priced and includes a custom number of runs and seats, unlimited projects, all features and data loaders, dedicated infrastructure and solution engineers, on-premise and VPC deployment, access control, SSO, and SOC 2 / HIPAA / GDPR compliance.

## 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 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.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 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 8 | [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) |
| 9 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/qwen-4-vs-stack-ai-com

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