# DevGPT (DevKit) vs Qwen 4 (Alibaba Qwen4)

DevGPT (DevKit) records 3,265 monthly visits with -44.3% 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 | [DevGPT (DevKit)](https://openaitools.app/tool/devgpt) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://getdevkit.com | https://qwen.ai |
| Categories | AI Assistant, AI Code Assistant, AI Developer Tools, AI Code Generator | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 3,265 | 35,101,353 |
| MoM Growth Rate | -44.3% | -6.2% |
| Primary Market | United States | Russia |
| Direct Visits | 1,276 | 25,020,350 |
| Review Score | 2.2 | 4.7 |
| Saved Count | 7 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## DevGPT (DevKit)

DevGPT lives inside DevKit, a browser-based workspace built specifically for software developers. Instead of juggling a chat window, an API client, a database GUI, and a pile of ad-filled converter websites, you get all of them in one place. The chat interface is powered by a selection of world-class models, and it is wired directly into the tools around it, so you can move from an idea to a config, a query, or a running snippet without breaking context.

The distinguishing idea is that DevGPT is not just a thin chat layer. It tailors the underlying models to developer tasks, adds automatic code previews and execution, and exposes purpose-built mini-tools for each common job. You can generate configuration for a public API in a click, query a Postgres database in plain English, run and test code in dozens of languages inside the chat, and use the p5.js tooling to make interactive art or small games.

DevKit reports that more than 65,000 developers have used the product and that it has been continuously updated toward its 3.0 release. A free tier plus paid subscriptions and ads fund it, which the team frames as a way to keep common utilities fast, private, and ad-light compared with scattered free tool sites.

**Pricing & Plans:** DevGPT is offered on a freemium basis: you can start and use the assistant and mini-tools at no cost, while paid subscription tiers unlock higher limits and additional model access. Exact plan prices and credit allowances are shown on the DevKit pricing page.

- **Multi-model chat:** Switch between several leading LLMs, including high-context and fast-inference options, to match each task.
- **Public API testing:** Generate request configuration for hundreds of public APIs and finish API tests in seconds rather than hours.
- **Natural-language database querying:** Query Postgres databases in plain English and turn questions into SQL, then visualize the returned data.
- **In-chat code generation and execution:** Generate, run, and test code in dozens of languages inside the chat before moving it into your codebase.
- **30+ mini-devtools:** Use integrated editors, an API client, a database client, and 10+ utilities such as JSON/YAML and CSV converters without leaving the browser.

**Strengths:** Consolidates multiple LLMs and 30+ dev tools into a single browser workspace; Practical integrations such as the API client and database client save real context-switching time; Plain-English database querying and in-chat code execution make prototyping fast; Framed as privacy-conscious relative to ad-heavy free tool sites, with a freemium entry point

**Limitations:** Free tier is supported partly by ads and has limits, so heavy users will need a paid plan; Some capabilities, such as MySQL and SQL Server support, are noted as still coming; As a hosted third-party workspace, sensitive code or data passes through the service

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

DevGPT (DevKit) has 3,265 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?

DevGPT (DevKit) has a month-over-month growth rate of -44.3%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

DevGPT (DevKit): Freemium. DevGPT is offered on a freemium basis: you can start and use the assistant and mini-tools at no cost, while paid subscription tiers unlock higher limits and additional model access. Exact plan prices and credit allowances are shown on the DevKit pricing page. 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 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [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) |
| 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 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 10 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) |

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

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