# Qwen 4 (Alibaba Qwen4) vs Transcript LOL

Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% month-over-month growth and Freemium pricing. Transcript LOL records 916,431 monthly visits with -21% growth and Paid pricing.

| Metric | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | [Transcript LOL](https://openaitools.app/tool/transcript-lol) |
| :--- | :--- | :--- |
| Website URL | https://qwen.ai | https://transcript.lol |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant | AI Transcription, AI Speech-to-Text, Audio To Text AI, AI Summarizer |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 35,101,353 | 916,431 |
| MoM Growth Rate | -6.2% | -21% |
| Primary Market | Russia | Brazil |
| Direct Visits | 25,020,350 | 223,561 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 1,180 | 8 |
| 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)

## Transcript LOL

Transcript LOL is a web-based speech-to-text platform aimed at people who work with a lot of recorded speech: podcasters, researchers, journalists, marketers, sales teams, and educators. Upload an audio or video file, or point the service at a link from YouTube, Zoom, Dropbox, Google Drive, OneDrive, or Box, and it returns a time-stamped transcript within minutes. The engine is described as built on OpenAI's Whisper with custom vocabulary support, so product names, technical jargon, and proper nouns can be trained into recognition instead of being mangled.

The product's differentiator is what happens after the transcript exists. Every recording can be pushed through a set of AI workflows that produce summaries, seven key themes, mind maps, action items, quizzes, blog posts, newsletters, LinkedIn posts, and social copy. Those workflows are built on large language models including OpenAI's GPT line, Google Gemini, Anthropic Claude, Meta Llama, and xAI Grok, and you can save your own prompts for repeatable tasks. A chatbot sits over your content so you can ask questions and pull specific answers out of hours of audio.

Workflow features target teams as well as individuals: shared spaces, folders and subfolders, and search across all content make a large library manageable, while speaker detection and editing tools keep transcripts publication-ready. Output is flexible — TXT, DOCX, PDF, SRT, and VTT — covering both document sharing and subtitle delivery. A free tier lets you start without a credit card, and paid monthly or yearly plans (yearly advertised at roughly 50% off) unlock unlimited minutes and higher limits. Note that pricing and plan limits change, so check the pricing page for current figures.

**Pricing & Plans:** Freemium entry with paid plans. You can start transcribing free without a credit card, and the pricing page lists monthly and yearly tiers — yearly billing is advertised at around 50% savings. Paid tiers remove minute limits and unlock unlimited transcription plus the broader AI analysis toolset. Check the current pricing page for exact figures, since plan details are updated periodically.

- **Speaker recognition and labelling:** Different voices in a recording are detected automatically and tagged, so interviews, panels, and meetings stay readable instead of becoming one undifferentiated block of text.
- **AI summaries and content generation:** From any transcript you can generate summaries, key themes, mind maps, action items, quizzes, blog posts, newsletters, and social posts, with reusable custom prompts and a chatbot for follow-up questions.
- **Broad import and export options:** Bring in files from Google Drive, Dropbox, OneDrive, Box, Zoom, YouTube, Vimeo, or a URL, then export as TXT, DOCX, PDF, SRT, or VTT with formatting you control.
- **Transcript editing tools:** Find and replace, speaker assignment, rich text formatting, and highlighting make cleanup fast before you hand a transcript off or publish it.
- **Integrations and API access:** A Chrome extension, WhatsApp and Telegram bots, Zoom auto-import, Zapier, and direct API access let transcription slot into existing workflows.

**Strengths:** Transcription, speaker labelling, and AI analysis live in one tool, avoiding a second service for summaries; Wide import surface — direct upload, cloud drives, Zoom, YouTube, Vimeo, and plain URLs; Exports cover document formats and subtitle formats (SRT, VTT) from the same transcript; Team features like shared spaces, folders, and cross-library search scale to large catalogues

[Profile (Markdown)](https://openaitools.app/tool/transcript-lol.md)

## Frequently Asked Questions

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

Qwen 4 (Alibaba Qwen4) has 35,101,353 monthly visits, while Transcript LOL has 916,431. 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%; Transcript LOL has -21%.

### 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). Transcript LOL: Paid. Freemium entry with paid plans. You can start transcribing free without a credit card, and the pricing page lists monthly and yearly tiers — yearly billing is advertised at around 50% savings. Paid tiers remove minute limits and unlock unlimited transcription plus the broader AI analysis toolset. Check the current pricing page for exact figures, since plan details are updated periodically.

## 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 | [TurboScribe](https://openaitools.app/tool/turboscribe-ai) | 27,661,771 | +2.1% | Freemium | Offers fast, unlimited audio and video transcription across many languages, but lacks advanced collaborative team editing features. | [.md](https://openaitools.app/tool/turboscribe-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 | [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | +9.6% | Freemium | Focuses heavily on live meeting recording and team collaboration, but charges more for importing pre-recorded video files. | [.md](https://openaitools.app/tool/otter-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 | [Fathom](https://openaitools.app/tool/fathom-2-0) | 5,620,385 | +0.2% | Freemium, Free Trial | Provides a completely free video call recorder and meeting summarizer, but does not support general offline file uploads. | [.md](https://openaitools.app/tool/fathom-2-0.md) |
| 8 | [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) |
| 9 | [Happy Scribe](https://openaitools.app/tool/happyscribe-com) | 4,088,330 | +8% | Freemium, Free Trial, Paid | Provides both automated and human-verified transcription options, but is significantly more expensive for casual users. | [.md](https://openaitools.app/tool/happyscribe-com.md) |
| 10 | [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) |

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

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