# Floatboat vs Qwen 4 (Alibaba Qwen4)

Floatboat records 33,311 monthly visits with -0.3% 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 | [Floatboat](https://openaitools.app/tool/floatboat) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://floatboat.ai | https://qwen.ai |
| Categories | AI Agent, AI Scheduling, AI Calendar, AI Assistant | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 33,311 | 35,101,353 |
| MoM Growth Rate | -0.3% | -6.2% |
| Primary Market | United States | Russia |
| Direct Visits | 13,598 | 25,020,350 |
| Review Score | 4.1 | 4.7 |
| Saved Count | 0 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## Floatboat

Floatboat flips the usual chat-AI interaction. Chat assistants wait for you to ask something, lose context between sessions and only work while a tab is open. Floatboat reads your calendar instead, turning meetings, deadlines and routines into triggers with context. Prep fires before a call, drafts fire before a deadline, and follow-ups fire after — so a chunk of the work is already done by the time you sit down.

Under the hood it connects to Google Calendar, Notion Calendar, Lark, Outlook, iCloud or any ICS feed, and each event gets a persistent Agent Workspace holding files, run history, model choice and decisions. It's built on native MCP and the company's IACT protocol, so agents call real APIs and read local Word, PDF and PPT files in place rather than making you re-upload everything. It claims 3,500+ tool integrations, including Notion, Slack, GitHub, Linear, Google Drive, Gmail, Figma and any MCP server, with permission scopes granted per calendar event rather than per account.

Model access is unusually broad: DeepSeek, MiniMax, GLM, Kimi, GPT-5, Claude and Gemini are all built in, with no API key or VPN needed for the Chinese frontier models. An Auto Mode routes each step of a workflow to the right model — cheap ones for parsing, frontier ones for reasoning — and falls back instantly if a provider is rate-limited. There's also FloatIM, a group chat where every participant is a locally running AI agent, and a Combo Store and Workflow Store for installing reusable skills and ready-made automations.

**Pricing & Plans:** Floatboat is free to download and offers a freemium structure with paid upgrades; specific plan pricing is published on the site's pricing page and can change. Because you can connect accounts and subscriptions you already have, some running costs may fall outside Floatboat's own billing.

- **Calendar as the agent runtime:** Every calendar event becomes a trigger with context — from Google Calendar, Notion Calendar, Lark, Outlook, iCloud or any ICS feed — rather than a chat prompt you have to type.
- **Persistent Agent Workspaces:** Each event gets its own workspace with files, run history, model choice and decisions, shared across Mac, Windows and the FloatIM iOS app.
- **3,500+ integrations via MCP and IACT:** Agents call real APIs and read local Word, PDF and PPT files in place, with permission scopes set per calendar event rather than per account.
- **Broad built-in model access with Auto Mode:** DeepSeek, MiniMax, GLM, Kimi, GPT-5, Claude and Gemini are available with zero setup, and Auto Mode routes each step to the most suitable model with automatic fallback.
- **Combo Store and Workflow Store:** Install reusable agent skills that turn voice notes into decks or tickets into PR drafts, plus ready-to-run automations for webhook, schedule and browser tasks.

**Strengths:** Runs proactively from your calendar instead of waiting for prompts; Very broad model access, including Chinese frontier models with no VPN or API key; 3,500+ integrations with permission scopes per event, not per account; Local-first with an agent group chat (FloatIM) and handoff to teammates when you grow

**Limitations:** Calendar-centric design assumes a schedule-driven workflow, which may not suit everyone; The full value depends on connecting your calendars and tools, so setup is involved; It's a young product on a v0.x release, so features and stores are still evolving

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

Floatboat has 33,311 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?

Floatboat has a month-over-month growth rate of -0.3%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

Floatboat: Freemium. Floatboat is free to download and offers a freemium structure with paid upgrades; specific plan pricing is published on the site's pricing page and can change. Because you can connect accounts and subscriptions you already have, some running costs may fall outside Floatboat's own billing. 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 | [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 | [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 | [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 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | An AI work partner that turns a sentence into finished office deliverables | [.md](https://openaitools.app/tool/workbuddy.md) |
| 9 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.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/floatboat-vs-qwen-4

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