# Boxes.dev vs Qwen 4 (Alibaba Qwen4)

Boxes.dev records 552 monthly visits with 0% month-over-month growth and Freemium, Contact for Pricing pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing.

| Metric | [Boxes.dev](https://openaitools.app/tool/boxes-dev) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://boxes.dev | https://qwen.ai |
| Categories | AI Agent, AI Developer Tools, AI Code Assistant, AI Copilot | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Freemium, Contact for Pricing | Freemium |
| Monthly Visits | 552 | 35,101,353 |
| MoM Growth Rate | 0% | -6.2% |
| Primary Market | Global | Russia |
| Direct Visits | 159 | 25,020,350 |
| Review Score | 4.6 | 4.7 |
| Saved Count | 0 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## Boxes.dev

Boxes.dev solves a problem that appears the moment you start running more than one AI coding agent at a time: a single laptop cannot give several agents isolated filesystems, isolated ports and enough CPU at once. The product's answer is to hand each meaningful body of work its own cloud machine, called a devbox. A devbox is a real Linux computer with its own filesystem, its own processes, port forwarding back to localhost, and your development setup already installed, so several tasks can run in parallel without port collisions or resource contention.

What makes Boxes.dev distinctive is that it does not introduce a new agent harness. It runs the native Claude Code and Codex CLI you already pay for, using your existing subscription or API key — the company explicitly does not sell tokens. Onboarding is designed to be handed to the agent itself: you paste a prompt into Claude Code or Codex inside your project folder, the agent inspects your environment (env files, local databases, tooling outside the repo), drafts a setup plan, and after your approval a second agent executes the plan on a remote box. The resulting filesystem-and-memory snapshot becomes the template that all future devboxes boot from in seconds.

Operationally, agents can be started from Slack by mentioning the bot, by assigning a Linear issue, by a cron schedule, or by a single API call, and results come back where you asked for them. Devboxes sleep automatically when idle and sleeping boxes are free, which keeps parallelism from turning into runaway cost. The company positions it against Devin, Cursor and bare Claude Code/Codex setups, emphasising full cloud computers per agent, a native iOS and Android app, live session sharing for teammates, and preview URLs for running apps.

**Pricing & Plans:** Freemium with a usage-based model. A free trial includes 20 box-hours with a template box plus 3 awake devboxes and unlimited sleeping boxes. Paid tiers per user per month: Starter $19 (50 box-hours, 5 awake devboxes), Pro $99 (300 box-hours, 12 awake devboxes) and Max $249 (750 box-hours, 25 awake devboxes). Overage is $0.40 per box-hour with prepaid discounts up to 10%. Teams plans with SSO, SCIM, RBAC and audit logs are custom-priced. A box-hour equals one hour awake on a standard 4 vCPU / 8 GiB / 100 GB machine; larger sizes consume proportionally more.

- **One cloud computer per agent:** Every meaningful task gets a fresh Linux devbox with its own filesystem, processes and ports, so parallel agents never fight over resources or collide on ports.
- **Bring your own Claude Code or Codex:** Boxes.dev runs the native harness and your existing subscription or API key — no new agent framework, and no token resale.
- **Start agents from anywhere:** Kick off work by mentioning @boxes.dev in Slack, assigning a Linear issue, scheduling a cron job, or calling the REST API, with results returned in the same channel.
- **Desktop, mobile, terminal and web clients:** Read threads, approve requests, review diffs or open a terminal on any surface, including full-featured native iOS and Android apps.
- **Sleeping devboxes are free:** Idle boxes suspend automatically and are billed by the second only while awake, keeping the cost of running many agents under control.

**Strengths:** Each agent gets a genuine isolated cloud computer rather than a worktree or sandbox on your laptop; Works with your existing Claude Code or Codex subscription, so there is no separate token bill; Agents can be triggered from Slack, Linear, cron or API, which fits existing team workflows; Idle devboxes sleep for free, and billing is per second, so parallel experiments stay affordable

**Limitations:** Usage is metered in box-hours, so heavy or long-running workloads can exceed included allowances; The free trial's 20 box-hours is enough for evaluation but not sustained daily work; Most powerful features such as SSO, audit logs and dedicated deployment sit behind custom-priced Teams plans

[Profile (Markdown)](https://openaitools.app/tool/boxes-dev.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 Boxes.dev and Qwen 4 (Alibaba Qwen4) compare in monthly traffic?

Boxes.dev has 552 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?

Boxes.dev has a month-over-month growth rate of 0%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

Boxes.dev: Freemium, Contact for Pricing. Freemium with a usage-based model. A free trial includes 20 box-hours with a template box plus 3 awake devboxes and unlimited sleeping boxes. Paid tiers per user per month: Starter $19 (50 box-hours, 5 awake devboxes), Pro $99 (300 box-hours, 12 awake devboxes) and Max $249 (750 box-hours, 25 awake devboxes). Overage is $0.40 per box-hour with prepaid discounts up to 10%. Teams plans with SSO, SCIM, RBAC and audit logs are custom-priced. A box-hour equals one hour awake on a standard 4 vCPU / 8 GiB / 100 GB machine; larger sizes consume proportionally more. 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 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.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 | [MyClaw](https://openaitools.app/tool/myclaw) | 990,387 | -23.8% | Paid | Your always-on AI teammate, hosted and managed for you | [.md](https://openaitools.app/tool/myclaw.md) |

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

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