# Qwen 4 (Alibaba Qwen4) vs Sofos

Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% month-over-month growth and Freemium pricing. Sofos records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | [Sofos](https://openaitools.app/tool/sofos) |
| :--- | :--- | :--- |
| Website URL | https://qwen.ai | https://sofos.co |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant | AI Agent, AI Knowledge Base, AI Assistant, AI Productivity Tools |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 35,101,353 | 0 |
| MoM Growth Rate | -6.2% | 0% |
| Primary Market | Russia | Global |
| Direct Visits | 25,020,350 | 0 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 1,180 | 0 |
| 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)

## Sofos

Sofos is an "agentic workspace" for business teams built around a simple idea: your documents and your AI agent should live on the same machine and in the same window. One side of the app is a familiar document editor aimed at the kind of writing business teams do all day — product requirements documents, briefs, strategy memos, investor updates and release notes. The other side is an agent that reads and edits those same files, so it works from what you actually wrote rather than from generic training data.

The app is deliberately local-first. Files are stored as plain Markdown in a folder you choose, which means there is no proprietary format and no lock-in — the same files work with tools like Git, Obsidian or VS Code. Rather than bundling its own AI, Sofos connects to an agent you already pay for: Claude Code or Codex, switchable at the bottom of any chat. Because both agents run against your local folder, you can move between them without changing your setup.

Sofos also ships an "Academy" of reusable skills — small Markdown files that teach the agent a repeatable job, such as turning a product brief into Jira epics, assembling a launch kit or building a QBR deck. Around 17 native integrations cover Notion, Linear, Slack, Jira, Confluence, GitHub, Figma, Canva, Asana, Stripe, Supabase and HubSpot. The current release is version 0.1.10 for macOS; the product ships in the open and the team invites direct contact at hello@sofos.co.

**Pricing & Plans:** Sofos is distributed as a free desktop download for macOS, and the company's public site lists no self-serve subscription tiers or prices — the listed pricing model is "contact for pricing." Note that the underlying agent (Claude Code or Codex) is billed separately by the provider you choose. Check sofos.co for the current terms.

- **Editor and agent in one window:** A familiar document editor sits alongside an AI agent that reads and writes the same files, so drafts, edits and research stay in a single place.
- **Bring your own agent:** Sofos does not sell AI. It runs Claude Code or Codex against your local folder using your own subscription, and you can switch between them from the chat footer.
- **Plain Markdown, local-first:** Documents are ordinary Markdown files in a folder on your Mac, compatible with Git, Obsidian and VS Code, with no proprietary format or lock-in.
- **Academy skills:** Downloadable skill files teach the agent repeatable, role-specific jobs such as PRD-to-Jira epics, launch announcement kits and QBR deck builders.
- **17+ integrations:** Connect Notion, Linear, Slack, Jira, Confluence, GitHub, Figma, Canva, Asana, Stripe, Supabase and HubSpot so the agent can pull context from your existing stack.

**Strengths:** Runs on your own machine with plain Markdown files, so there is no data lock-in or proprietary format; Uses the agent subscription you already pay for instead of charging for AI on top; Familiar document editor means no new mental model or migration for business teams; Broad integration list covers the tools most teams already work in

**Limitations:** macOS only, and the current release is an early version (0.1.10) rather than a mature 1.0; No public pricing or self-serve plan details on the site, so costs must be confirmed by contact

[Profile (Markdown)](https://openaitools.app/tool/sofos.md)

## Frequently Asked Questions

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

Qwen 4 (Alibaba Qwen4) has 35,101,353 monthly visits, while Sofos has 0. 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%; Sofos has 0%.

### 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). Sofos: Contact for Pricing. Sofos is distributed as a free desktop download for macOS, and the company's public site lists no self-serve subscription tiers or prices — the listed pricing model is "contact for pricing." Note that the underlying agent (Claude Code or Codex) is billed separately by the provider you choose. Check sofos.co for the current terms.

## 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 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 3 | [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) |
| 4 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 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 | [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 | [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) |

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

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