# Capture.dev vs Qwen 4 (Alibaba Qwen4)

Capture.dev records 1,910 monthly visits with -32.4% month-over-month growth and Free Trial, Paid pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing.

| Metric | [Capture.dev](https://openaitools.app/tool/capture-dev) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://capture.dev | https://qwen.ai |
| Categories | Other | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Free Trial, Paid | Freemium |
| Monthly Visits | 1,910 | 35,101,353 |
| MoM Growth Rate | -32.4% | -6.2% |
| Primary Market | Brazil | Russia |
| Direct Visits | 769 | 25,020,350 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 0 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## Capture.dev

Most bug reports fail because they lack context. Capture.dev attacks that problem by making the capture happen where the bug occurs. A tiny toolbar installs on any website, and a single click records the screen, the affected user, the DOM inspector state, console logs, and network requests in one bundle — no follow-up questions and no screenshots pasted into a chat thread.

Beyond raw capture, Capture adds automation that speeds up triage. An auto-history feature produces a step-by-step playback of what the user did before things broke, which is far more useful than "it just broke." Auto-summary generates a written description of the issue, so issues can be prioritized at a glance without digging through logs. Reports route to Slack, Linear, Jira, Asana, ClickUp, Trello, or Zapier, so the capture lands in the same workflow your team already uses.

There is also a customer-facing path: send a user a unique capture link and they can share everything needed to reproduce the issue, cutting the back-and-forth between a support ticket and a resolution. Capture positions itself as a simpler alternative to tools like Jam.dev and Marker.io and says it is used by 500+ teams. Pricing details live on the site's pricing page, and there is a 14-day free trial with no credit card required, plus a demo where captures are deleted after one hour.

**Pricing & Plans:** Capture.dev offers a 14-day free trial with no credit card required and says unlimited bug reports and unlimited integrations are included. Detailed plan tiers and rates are published on its pricing page.

- **One-click context capture:** A single click records the screen, user information, DOM inspector state, console logs and network requests in one report.
- **AI auto-summary:** Each report comes with a generated summary so issues can be triaged at a glance without reading through logs.
- **Auto-history playback:** A step-by-step record of what the user did before the failure, useful for bugs that are hard to describe.
- **On-page annotation:** Anyone on the team can request changes or leave feedback directly on the website without leaving the browser.
- **Workflow integrations:** Reports sync to Slack, Linear, Jira, Asana, ClickUp, Trello and Zapier, and setup is just a few lines of code on any site.

**Strengths:** Captures the full technical context automatically, so no repeated follow-up questions; Auto-history playback makes hard-to-describe bugs reproducible; Works on any website with only a few lines of code; Routes directly into Slack, Linear, Jira, Asana, ClickUp, Trello and Zapier

**Limitations:** The exact plan limits and pricing require a visit to the separate pricing page; AI summaries are a convenience layer, not a replacement for reading the underlying evidence; Sending capture links to end users still requires them to actually use the link

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

Capture.dev has 1,910 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?

Capture.dev has a month-over-month growth rate of -32.4%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

Capture.dev: Free Trial, Paid. Capture.dev offers a 14-day free trial with no credit card required and says unlimited bug reports and unlimited integrations are included. Detailed plan tiers and rates are published on its 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 | [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 | [Duck.ai](https://openaitools.app/tool/duck-ai) | 26,431,539 | +10.7% | Free | Private AI chat from the makers of DuckDuckGo | [.md](https://openaitools.app/tool/duck-ai.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 | [ExportTok](https://openaitools.app/tool/exporttok) | 2,782,229 | +9.2% | Freemium | Pull TikTok comments into CSV or Excel without logging in | [.md](https://openaitools.app/tool/exporttok.md) |
| 9 | [iMyFone](https://openaitools.app/tool/imyfone) | 2,323,399 | -8.4% | Freemium, Free Trial, Paid | Practical software for phones, computers and everyday AI tasks | [.md](https://openaitools.app/tool/imyfone.md) |
| 10 | [Photofeeler](https://openaitools.app/tool/photofeeler) | 1,903,722 | +151.6% | Freemium | Unbiased photo feedback from real people, for dating, business and social profiles | [.md](https://openaitools.app/tool/photofeeler.md) |

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

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