Is Qwen (Tongyi Qianwen) free?

Yes, Qwen (Tongyi Qianwen) offers a freemium tier for basic access. Paid plans for the Model Studio Coding Plan start at $3/month, and usage-based pricing for models like Qwen-Plus begins at $0.000115 per 1k input tokens.

What are the main features of Qwen (Tongyi Qianwen)?

Key features include API availability, HIPAA alignment with BAA support, numerous ISO certifications (e.g., ISO 27001), SOC 2 Type 2 reports, opt-in user data training, and capabilities for natural language understanding, generation, vision, and audio processing.

How does Qwen (Tongyi Qianwen) compare to alternatives?

Qwen (Tongyi Qianwen) distinguishes itself with strong multilingual support, cost-effectiveness, and an open-source strategy, often outperforming competitors in coding benchmarks. It competes with models like OpenAI's ChatGPT (general versatility), Google's Gemini (multimodal, long context), Anthropic's Claude (reasoning, complex analysis), and Meta's Llama (open-weight, tooling ecosystem).

AI Tool

Qwen (Tongyi Qianwen) Review

Qwen (Tongyi Qianwen) is a large language model developed by Alibaba Cloud, offering capabilities for various natural language processing and generation tasks.

shipped Apr 6, 2026aifreemium

Why it matters

1Offers a freemium pricing model with API access for developers.

2Holds numerous ISO certifications, including ISO 27001, ISO 22301, and ISO 9001.

3Maintains SOC 2 Type 2 reports, issued twice yearly by independent third-party auditors.

4Supports HIPAA alignment and Business Associate Agreements (BAA) for healthcare information protection.

Stork’s verdict on Qwen (Tongyi Qianwen)

Qwen offers strong compliance and specialized models like Qwen-Coder, but it's deeply integrated into the Alibaba Cloud ecosystem.

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is Qwen (Tongyi Qianwen)?

Qwen (Tongyi Qianwen) is a Large Language Model tool developed by Alibaba Cloud that enables users to perform various natural language processing and generation tasks. It is a family of transformer-based LLMs and LMMs known for strong performance in both Chinese and English.

features

Key Features of Qwen (Tongyi Qianwen)

Qwen (Tongyi Qianwen) provides a comprehensive suite of features designed for advanced natural language and multimodal processing, catering to diverse enterprise and developer needs. Its architecture supports robust compliance and flexible deployment.

API available for integration into custom applications, with documentation at https://www.alibabacloud.com/help/doc-detail/2587790.html.
HIPAA aligned, supporting Business Associate Agreements (BAA) for healthcare data protection.
Holds numerous ISO certifications, including ISO 27001 (Information Security Management), ISO 22301 (Business Continuity Management), and ISO 9001 (Quality Management).
Maintains SOC 2 Type 2 reports, issued biannually by independent auditors, available via NDA.
Offers opt-in control for training on user data, as per its privacy policy at https://www.alibabacloud.com/help/legal/privacy-policy.
Supports natural language understanding, text generation, vision understanding (Qwen-VL), and audio understanding (Qwen-Audio).
Includes specialized models like Qwen-Coder for programming tasks, often outperforming competitors on coding benchmarks.
Capable of tool use, role-play, and acting as AI agents for executing multi-step tasks across applications.

use cases

Who Should Use Qwen (Tongyi Qianwen)?

Qwen (Tongyi Qianwen) is utilized across various sectors, from individual developers to large enterprises, for applications requiring advanced AI capabilities in language, coding, and multimodal processing. Its compliance features make it suitable for regulated industries.

Developers and AI Engineers: For generating new code, debugging, and integrating advanced NLP/LMM capabilities via API, particularly with Qwen-Coder models.
Enterprises requiring Compliance: Organizations needing HIPAA alignment and ISO/SOC 2 certifications for data processing, such as healthcare providers and financial institutions.
Content Creators and Marketers: For content generation, summarization, translation, and multilingual communication in both Chinese and English.
Researchers and Academics: Utilizing open-source models (under Apache 2.0 License) for experimentation and building custom AI solutions.
Businesses with Multimodal Needs: For applications involving image analysis, audio interpretation, and video input, leveraging Qwen-VL and Qwen-Audio models.

pricing

Qwen (Tongyi Qianwen) Pricing & Plans

Qwen (Tongyi Qianwen) operates on a hybrid pricing model, combining freemium access with subscription tiers for API usage and usage-based costs for specific models like Qwen-Plus. This structure allows for flexible adoption from basic exploration to high-volume enterprise deployment.

Freemium: Basic access to Qwen capabilities at no cost.
Model Studio Coding Plan ($3/month): Offers 18,000 monthly requests, 9,000 weekly requests, and up to 1,200 requests within any 5-hour window.
Model Studio Coding Plan ($10/month): Provides up to 18,000 monthly requests.
Model Studio Coding Plan ($50/month): Includes 90,000 requests per month, 45,000 requests per week, and 6,000 requests per 5 hours.
Qwen-Plus (Non-thinking mode, Input): Priced at $0.000115 per 1k tokens for inputs up to 128K tokens.
Qwen-Plus (Non-thinking mode, Output): Priced at $0.000287 per 1k tokens for outputs up to 128K tokens.

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Qwen (Tongyi Qianwen) vs Competitors

Qwen (Tongyi Qianwen) is a significant contender in the global AI landscape, distinguished by its open-source strategy, strong multilingual performance, and cost-effectiveness, often challenging leading models from major tech companies.

OpenAI (ChatGPT)On Stork Compare

ChatGPT is widely regarded for its exceptional conversational ability and versatility across a broad range of general tasks.

While Qwen excels in multilingual support and recent training data, ChatGPT (especially GPT-4) is a strong general-purpose conversational AI with unparalleled versatility and often faster response times for general tasks. ChatGPT is generally considered the best overall for general-purpose AI due to its real-time awareness, structured writing, and speed.

Google DeepMind (Gemini)On Stork Compare

Gemini excels at multimodal tasks and long-context analysis, combining different types of information and generating various outputs.

Gemini has a larger context window (1M tokens) compared to Qwen's (e.g., 128K tokens for Qwen, 262K for Qwen3.5-27B), making it better for long documents, and generally responds faster. While Qwen is stronger in multilingual tasks and coding, Gemini has a slight edge in coding tasks and excels in multimodal capabilities.

Anthropic (Claude)On Stork Compare

Claude is known for its strong reasoning capabilities, complex analysis, and advanced coding workflows.

Claude generally has a larger context window (e.g., 200K for Claude vs. 128K for Qwen) and excels in complex analysis and long documents, whereas Qwen focuses on best multilingual support and coding. Claude is often considered better for professional applications and realistic UIs, while Qwen is ideal for general coding tasks and turning ideas into working code.

Meta AI (Llama)On Stork Compare

Llama is Meta AI's open-source, parameter-efficient alternative to large commercial LLMs, available for researchers and noncommercial use cases.

Both Qwen and Llama are open-weight model families, offering strong multilingual performance and competitive coding and reasoning. Llama has a broader tooling ecosystem, while Qwen offers a wider range of model sizes and has become particularly popular in Asia.

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