Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% month-over-month growth and Freemium pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.
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.
The data, evaluations and systems behind AI that has to be right.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | qwen.ai | scale.com |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 35.1M (35,101,353) | 616.92K (616,915) |
| MoM Traffic Delta | -2.34M (-6.2%) |
| +68.69K (+12.5%) |
| Primary Market & Share | 🇷🇺 Russia (37.2%) | 🇺🇸 United States (44.2%) |
|---|
| Direct Visits / mo | 25.02M | 191.41K |
|---|
| User Rating | 4.7 | 4.7 |
|---|
| Supported Platforms | Website, API, Open Source | Website |
|---|
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.
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.
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.
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.
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.
The data, evaluations and systems behind AI that has to be right.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
Free / Open-sourceProvides state-of-the-art open-weight reasoning models and low-cost APIs, but with less emphasis on multimodal Alibaba ecosystem tools.
Provides robust developer tools and multimodal APIs, but relies on Google's closed Gemini models rather than open-weight alternatives.
#2SpecialistAggregates hundreds of models behind one API gateway, but functions as a router rather than hosting native Qwen infrastructure.
#3
Offers competing Chinese foundation model APIs and agent builders, but specializes in Zhipu AI's GLM architecture.
Free / Open-sourceProvides lightweight open-weight models for local deployment, but offers smaller parameter sizes compared to top-tier Qwen variants.
SpecialistDelivers ultra-fast inference speeds using custom LPU hardware, but supports a more limited selection of open models.
Offers robust serverless APIs for open-source models, but lacks native training integrations specific to Alibaba's ecosystem.
Free / Open-sourceProvides comparable multimodal foundation model APIs from a major tech giant, but utilizes Tencent's proprietary Hunyuan architecture.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
SpecialistSpecializes in memory-efficient fine-tuning for open-weight models, but requires external infrastructure to deploy full production APIs.
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
Delivers exceptionally high-throughput inference for open-weight models, but focuses more on general open-source deployment than Qwen-specific tools.
Free / Open-sourceProvides state-of-the-art open-weight reasoning models and low-cost APIs, but with less emphasis on multimodal Alibaba ecosystem tools.
Provides robust developer tools and multimodal APIs, but relies on Google's closed Gemini models rather than open-weight alternatives.
SpecialistAggregates hundreds of models behind one API gateway, but functions as a router rather than hosting native Qwen infrastructure.
Offers competing Chinese foundation model APIs and agent builders, but specializes in Zhipu AI's GLM architecture.
Free / Open-sourceProvides lightweight open-weight models for local deployment, but offers smaller parameter sizes compared to top-tier Qwen variants.
Offers robust serverless APIs for open-source models, but lacks native training integrations specific to Alibaba's ecosystem.
Free / Open-sourceProvides comparable multimodal foundation model APIs from a major tech giant, but utilizes Tencent's proprietary Hunyuan architecture.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
SpecialistSpecializes in memory-efficient fine-tuning for open-weight models, but requires external infrastructure to deploy full production APIs.
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
