How do their growth rates compare?

Qwen 4 (Alibaba Qwen4) has a month-over-month growth rate of -6.2%; Use AI has -10.2%.

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). Use AI: Free Trial, Paid. Freemium with a free trial-style free tier. Free: $0 with generous everyday chat, limited web search and web, iOS and Android access, no credit card required. Pro: $19.99/month (billed quarterly at $59.97) for unlimited Use AI Instant messaging, premium model access, projects, image generation and Deep Research. Max: $116.99/month (billed quarterly at $350.97) with 5x the usage allowance, maximum reasoning and Deep Research. Prices vary by country and promotion.

What are alternatives to Qwen 4 (Alibaba Qwen4) and Use AI?

Other tools in related categories include ChatGPT, Google Gemini, Claude, DeepSeek, Grok.

Qwen 4 (Alibaba Qwen4) vs Use AI — Traffic (35.1M vs 8.75M), Pricing & Verdict

Open AI Tools

Qwen 4 (Alibaba Qwen4) vs Use AI — Traffic (35.1M vs 8.75M), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Qwen 4 (Alibaba Qwen4)	Use AI
Official Domain	qwen.ai	use.ai
Pricing Model	Freemium	Free Trial, Paid
Monthly Visits	35.1M (35,101,353)	8.75M (8,751,848)
MoM Traffic Delta	-2.34M (-6.2%)	-999.07K (-10.2%)
Primary Market & Share	🇷🇺 Russia (37.2%)	🇺🇸 United States (19.9%)
Direct Visits / mo	25.02M	720.34K
User Rating	4.7	4.2
Supported Platforms	Website, API, Open Source	Website

Qwen 4 (Alibaba Qwen4)

Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context.

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.