# Qwen 4 (Alibaba Qwen4) vs Ringmere

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

| Metric | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | [Ringmere](https://openaitools.app/tool/ringmere) |
| :--- | :--- | :--- |
| Website URL | https://qwen.ai | https://ringmere.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant | AI Call Center, AI Voice Assistants, AI Customer Service, AI Assistant |
| Pricing Model | Freemium | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 35,101,353 | 0 |
| MoM Growth Rate | -6.2% | 0% |
| Primary Market | Russia | Global |
| Direct Visits | 25,020,350 | 0 |
| Review Score | 4.7 | 4.3 |
| Saved Count | 1,180 | 1 |
| 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)

## Ringmere

Ringmere replaces the voicemail-and-missed-call problem with an AI receptionist that answers every call on the first ring. You keep your existing number or take a new UK local number, teach the assistant your services, prices, opening hours and FAQs — by importing from a website, PDF, spreadsheet or even a photo of a price list — and approve everything before it goes live. Calls are answered 24/7, transcribed and summarised, and booking confirmations, reminders and missed-call text-backs go out automatically.

The product is built for businesses that live on their phone: salons, barbershops, dental and aesthetics clinics, physio, vets, garages and MOT centres, plumbers, restaurants, takeaways and hotels. On higher tiers it also answers WhatsApp and SMS in two-way AI chat, drafts replies to customer emails, routes calls to up to five departments or an unlimited number of teams, and syncs hotel room bookings with channel managers such as Beds24 and Cloudbeds.

Ringmere emphasises control and compliance: it only uses services, prices and answers you have approved, checks live availability to avoid double bookings, and escalates vulnerable or urgent callers straight to a person. Customer records are stored in the UK, with GDPR readiness, encryption and an AI-and-recording disclosure switched on by default. Pricing is month to month with no long contract: Starter at £49, Growth at £99 and Pro at £249 per month excluding VAT, each with included minutes, extra minutes at £0.25/min (or £0.20 on Pro), and a 7-day free trial. White-label reseller plans are available for agencies, franchises and multi-location groups.

**Pricing & Plans:** Monthly subscription plans, prices exclude VAT: Starter £49/month (150 call minutes), Growth £99/month (240 minutes across calls and chat), Pro £249/month (700 minutes). Extra minutes £0.25/min, £0.20/min on Pro. Every plan includes a UK phone number, a 7-day free trial and month-to-month billing. Agency/Enterprise white-label pricing on request.

- **24/7 call answering:** Answers on the first ring day and night with a real-time, speech-to-speech voice that holds a natural conversation instead of sending callers to voicemail.
- **In-call calendar booking:** Books, reschedules and cancels appointments against live availability in Google Calendar or Outlook, plus table reservations, takeaway orders and hotel room bookings, so the same slot is never promised twice.
- **Lead capture and human handoff:** Asks who is calling and what they need, logs it against the call, and escalates emergencies, complaints and vulnerable callers to your team with full context.
- **WhatsApp, SMS and email replies:** On Growth and Pro, two-way AI chat on WhatsApp and SMS handles bookings and questions, and every customer email gets a drafted reply for you to send.
- **Transcripts, alerts and compliance:** Calls are transcribed and summarised on a dashboard with recovered-revenue tracking; owner alerts and daily summaries arrive on WhatsApp, and GDPR-ready records are stored in the UK with disclosure on by default.

**Strengths:** Answers calls 24/7 without hardware, engineers or scripts to write; Books into Google Calendar or Outlook using live availability, avoiding double bookings; Clear, published UK pricing from £49/month with a 7-day free trial and no long contract; Compliance-focused: UK data storage, GDPR readiness and AI/recording disclosure on by default

**Limitations:** Focused on UK businesses with UK phone numbers; international number support is still described as coming; Extra minutes beyond your plan allowance are billed at £0.25/min (£0.20 on Pro); Free trial availability is restricted to UK cards that have not used a Ringmere trial before

[Profile (Markdown)](https://openaitools.app/tool/ringmere.md)

## Frequently Asked Questions

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

Qwen 4 (Alibaba Qwen4) has 35,101,353 monthly visits, while Ringmere has 0. 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%; Ringmere has 0%.

### 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). Ringmere: Free Trial, Paid, Contact for Pricing. Monthly subscription plans, prices exclude VAT: Starter £49/month (150 call minutes), Growth £99/month (240 minutes across calls and chat), Pro £249/month (700 minutes). Extra minutes £0.25/min, £0.20/min on Pro. Every plan includes a UK phone number, a 7-day free trial and month-to-month billing. Agency/Enterprise white-label pricing on request.

## 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 | [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) |
| 8 | [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) |
| 9 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Specializes in memory-efficient fine-tuning for open-weight models, but requires external infrastructure to deploy full production APIs. | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 10 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers exceptionally high-throughput inference for open-weight models, but focuses more on general open-source deployment than Qwen-specific tools. | [.md](https://openaitools.app/tool/fireworks-ai.md) |

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

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