Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% month-over-month growth and Freemium pricing. SubmitPro records 1,130 monthly visits with -28.6% growth and Paid 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.
One-click submission of your startup to 200+ directories
| Dimension / Metric | | |
|---|---|---|
| Official Domain | qwen.ai | submitpro.ai |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 35.1M (35,101,353) | 1.13K (1,130) |
| MoM Traffic Delta | -2.34M (-6.2%) |
| -452 (-28.6%) |
| Primary Market & Share | 🇷🇺 Russia (37.2%) | 🇮🇳 India (100%) |
|---|
| Direct Visits / mo | 25.02M | 381 |
|---|
| User Rating | 4.7 | 3.8 |
|---|
| 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.
One-click submission of your startup to 200+ directories
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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.
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.
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.
