Qwen Review

AI Chat & Assistants

A large language model developed by Alibaba Cloud. Open-source with world-class performance in multilingual support, coding, and mathematical reasoning.

4.2/5.0
Last reviewed: April 28, 2026
WebAPIローカル
Starting Price
Free plan available
Editor Rating
4.2/5.0
Available On
Web, API, ローカル
Pricing Plans
3 plans available

Editor's Verdict

Qwen earns a 4.2/5 rating as one of the more capable options in the ai chat & assistants space. Its standout strength — fully open source (apache 2.0 license) with commercial use permitted — makes it particularly valuable when that capability matters most to your workflow. The main trade-off is top-tier performance is inferior to gpt-5 or claude opus, which is worth weighing against the alternatives before committing. Because the free plan lets you validate fit without risk, there is very little downside to testing it first.

What is Qwen?

Qwen (Tongyi Qianwen) is an open-source large language model series developed by Alibaba Cloud. Qwen 3 achieves world-class performance in text generation, coding, mathematical reasoning, and multilingual support, rapidly expanding its market share as a major open-source model alongside Meta Llama and Google Gemma. It supports a 128K token context window, excelling at processing long texts. The Qwen-Coder series, specialized for coding, has achieved industry-leading scores on the HumanEval benchmark. It supports over 100 languages including Chinese, English, and Japanese, with particularly high accuracy for Asian languages. It is released under the commercially-permissive Apache 2.0 license, making it suitable for operation in local environments and private clouds. It is also available through the Alibaba Cloud Tongyi app, Hugging Face, and Ollama.

Qwen interface screenshot showing the main dashboard

Who is Qwen for?

Qwen is best suited for individuals, writers, researchers, and teams who need a versatile conversational assistant for daily productivity. Its free plan lowers the barrier to entry, making it easy to evaluate before committing. The breadth of features (8+) — including Text generation & conversation and Coding assistance (Qwen-Coder) — means you rarely need to switch to another tool for related tasks. Users frequently highlight one specific strength: fully open source (apache 2.0 license) with commercial use permitted.

Pricing plans & value for money

Qwen offers the following plans. Prices reflect the latest available information at the time of review and may change; always confirm on the official site before purchasing.

1Open source (free)
2Alibaba Cloud API pay-as-you-go
3Tongyi app free

Key features & capabilities

Here is what Qwen brings to the table, ranked roughly by how central each capability is to the product experience.

Text generation & conversation
Coding assistance (Qwen-Coder)
Mathematical reasoning
100+ language support
128K context window
Vision (image understanding)
Audio understanding
Function calling

Pros and cons

After evaluating Qwen against the rest of the ai chat & assistants field, these are the trade-offs that stood out in day-to-day use.

What we liked

  • Fully open source (Apache 2.0 license) with commercial use permitted
  • Very high accuracy for Asian languages including Chinese and Japanese
  • Top-tier coding ability among open-source models
  • Fully private operation possible in local environments (Ollama, etc.)
  • Large 128K token context window

What could be better

  • Top-tier performance is inferior to GPT-5 or Claude Opus
  • Ecosystem and community are smaller than Llama
  • Tongyi app is primarily in Chinese UI
  • Some API documentation is only in Chinese

How to get started with Qwen

A practical, five-step path we recommend for anyone evaluating Qwen for the first time — designed to minimise wasted time and help you decide fast.

  1. 1Sign up for Qwen

    Head to the official Qwen website and create an account. You can start with the free plan without entering payment details, which is ideal for testing how it fits your workflow.

  2. 2Set up your workspace

    Install the app on web if a native client is available, or simply open it in your browser. Configure basic preferences such as language, notifications, and default output style so that subsequent runs feel consistent.

  3. 3Run your first task with Text generation & conversation

    Start with a small, low-stakes task to understand how Qwen responds. Write a clear prompt or input, review the output, and iterate. This low-risk exploration is the fastest way to build intuition for what the tool excels at.

  4. 4Integrate into your daily workflow

    Once you know its strengths, introduce Qwen into one concrete workflow — not ten. Replace one existing step with it and measure the time saved or quality gained over a week before expanding usage further.

  5. 5Upgrade based on real usage

    Rather than upgrading upfront, monitor which limits you actually hit (message count, output length, export features). Upgrade only when a specific limit blocks your productivity, not because the higher plan looks more attractive on paper.

Best Qwen alternatives

Not sure Qwen is the right fit? These comparable tools in the ai chat & assistants space are worth considering depending on your priorities.

Frequently asked questions

Can I use Qwen for free?+

Yes, it is released as open source (Apache 2.0 license), so it is completely free to use, modify, and commercialize. You can also install and run it locally using tools like Ollama.

How does it compare to ChatGPT and Claude?+

Since Qwen is an open-source model, the biggest difference is that it can be operated completely privately in a local environment. While it is inferior to GPT-5 and Claude Opus in performance, its strengths are high Chinese and Japanese accuracy and free commercial use.

How do I run Qwen locally?+

You can run it locally using tools like Ollama, LM Studio, or vLLM. You can choose a model size that matches your machine specs, from the lightest Qwen3-0.6B to the largest Qwen3-235B-A22B.

Ready to try Qwen?

Start with the free plan — no credit card required.

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Reviewed by: AIpedia Editorial Team · Last updated: April 28, 2026 · Methodology: How we test & rate

This review reflects our editorial opinion based on hands-on testing, pricing verification, and cross-referencing with official documentation. We do not accept payment in exchange for favourable reviews. Read our full editorial policy.

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