ChartPixel records 3,036 monthly visits with -17.7% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing.
ChartPixel turns messy spreadsheets, surveys and webpage tables into interactive charts, written insights, forecasts and statistical tests. Upload a file, and the platform cleans and enhances the data, picks the most useful chart types, explains what each one shows, and lets you chat with your data.
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.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | chartpixel.com | qwen.ai |
| Pricing Model | Freemium, Paid, Contact for Pricing | Freemium |
| Monthly Visits | 3.04K (3,036) | 35.1M (35,101,353) |
| MoM Traffic Delta |
|---|
| -654 (-17.7%) |
| -2.34M (-6.2%) |
| Primary Market & Share | 🇺🇸 United States (56%) | 🇷🇺 Russia (37.2%) |
|---|
| Direct Visits / mo | 1.19K | 25.02M |
|---|
| User Rating | 4.1 | 4.7 |
|---|
| Supported Platforms | Website | Website, API, Open Source |
|---|
ChartPixel turns messy spreadsheets, surveys and webpage tables into interactive charts, written insights, forecasts and statistical tests. Upload a file, and the platform cleans and enhances the data, picks the most useful chart types, explains what each one shows, and lets you chat with your data.
Upload Excel or CSV files, or read tables from a webpage, and the platform tidies the data and picks the most insightful chart types for you.
Each chart comes with a written description, key takeaways and the supporting statistics, so findings are presentable immediately.
Ask questions of your dataset and its charts in natural language to dig into correlations and outliers without writing queries.
Run trend forecasts, statistical tests, sentiment analysis on comment fields and maps generated from postcode data.
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.
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.
SpecialistSpecializes in memory-efficient fine-tuning for open-weight models, but requires external infrastructure to deploy full production APIs.
SpecialistChat with your data to get analysis, charts, reports, and slides
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.
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.
SpecialistSpecializes in memory-efficient fine-tuning for open-weight models, but requires external infrastructure to deploy full production APIs.
SpecialistChat with your data to get analysis, charts, reports, and slides
