Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% month-over-month growth and Freemium pricing. Screenify records 4,326 monthly visits with -17.1% growth and Free Trial, Paid, 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.
Screen and qualify applicants with human-like AI interviews
| Dimension / Metric | | |
|---|---|---|
| Official Domain | qwen.ai | screenify.ai |
| Pricing Model | Freemium | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 35.1M (35,101,353) | 4.33K (4,326) |
| MoM Traffic Delta | -2.34M (-6.2%) | -890 (-17.1%) |
| Primary Market & Share | 🇷🇺 Russia (37.2%) | 🇺🇸 United States (86.3%) |
| Direct Visits / mo | 25.02M | 1.69K |
| User Rating | 4.7 | 4 |
| 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.
Screen and qualify applicants with human-like AI interviews
Create an interview, define scoring criteria, and send invitations automatically so screening, scheduling, and feedback collection happen without manual coordination.
Every interview is tailored to the role and the candidate's experience, and the AI follows up on responses the way a human interviewer would.
Candidates are scored against your company's criteria using AI evaluation, which reduces interviewer bias and keeps comparisons fair across applicants.
Applicants get an email invite, a custom intro video, and the freedom to interview any time through Google Meet or Zoom, with your own branding throughout.
Free / Open-sourceProvides state-of-the-art open-weight reasoning models and low-cost APIs, but with less emphasis on multimodal Alibaba ecosystem 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.
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.
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.
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.
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.
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.
Free / Open-sourceProvides comparable multimodal foundation model APIs from a major tech giant, but utilizes Tencent's proprietary Hunyuan architecture.
SpecialistSpecializes in memory-efficient fine-tuning for open-weight models, but requires external infrastructure to deploy full production APIs.
SpecialistSpecializes in memory-efficient fine-tuning for open-weight models, but requires external infrastructure to deploy full production APIs.
Delivers exceptionally high-throughput inference for open-weight models, but focuses more on general open-source deployment than Qwen-specific tools.
Provides low-cost serverless inference for open models, but lacks dedicated enterprise fine-tuning suites found on Alibaba Cloud.
Provides diverse open-weight model APIs and serverless GPU jobs, but lacks Alibaba's deep regional enterprise cloud integrations.
