Qwen3.5
Claim this toolAn open-source, large language model with enhanced performance and multimodal capabilities.
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7 reviews tracked·14 press mentionsThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Freely accessible for development and research
Biggest con
The advertised 128K token context window is misleading in practice, as instruction-following quality degrades noticeably once an active conversation passes roughly 40,000 to 50,000 tokens.
TL;DR - Qwen3.5
- Open-source large language model by Alibaba Cloud.
- Offers improved reasoning, coding, and math capabilities.
- Supports multimodal understanding and comes in various parameter sizes.
Pricing: Free forever
Best for: Individuals & startups
4.5/5 across review platforms
What is Qwen3.5?
Qwen3.5 is a new generation of open-source large language models developed by Alibaba Cloud. It is designed to offer significant improvements over previous versions, particularly in areas like reasoning, coding, and mathematical problem-solving. The model is available in various sizes, from 0.5 billion to 72 billion parameters, catering to diverse application needs and computational resources. Qwen3.5 also introduces multimodal capabilities, allowing it to process and understand different types of data beyond just text.
This model is aimed at developers, researchers, and organizations looking for a powerful and flexible foundation model for AI applications. Its open-source nature promotes innovation and allows for customization and integration into a wide range of projects, from natural language processing tasks to more complex AI solutions requiring advanced reasoning and multimodal understanding. The enhanced performance across multiple benchmarks makes it suitable for demanding AI workloads.
Available on: Web
Pros & Cons
Pros
- Freely accessible for development and research
- Strong performance across various benchmarks
- Versatile for different application scales due to multiple model sizes
- Supports multimodal inputs, expanding use cases
Cons
- The advertised 128K token context window is misleading in practice, as instruction-following quality degrades noticeably once an active conversation passes roughly 40,000 to 50,000 tokens.
- As an Alibaba-developed Chinese model, Qwen3.5 applies content restrictions on politically sensitive topics and carries state-influence and censorship concerns that some buyers cannot accept for their use cases.
- Self-hosting the open-weight model demands substantial GPU hardware and machine-learning engineering skill, so smaller teams face a steep setup and fine-tuning curve to run or customize it.
- The smaller 8B and 14B variants tend to silently satisfy only part of a complex multi-part instruction, dropping one of the requested constraints without warning.
Ratings Across the Web
4.5(7 reviews)
Qwen3.5 holds an aggregate rating of 4.5 out of 5 from 7 reviews across G2, last checked March 19, 2026.
Ratings aggregated from independent review platforms. Learn more
Key Features
Open-source availabilityEnhanced reasoning capabilitiesImproved coding performanceAdvanced mathematical problem-solvingMultimodal understandingMultiple model sizes (0.5B to 72B parameters)
Pricing
Free
Qwen3.5 is completely free to use with no hidden costs.
Reviews
$99Free with your review
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4.5/5
Across 7 verified user reviews on G2
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Qwen3.5 FAQ
How does Qwen3.5 support diverse application needs?
Qwen3.5 is available in various sizes, ranging from 0.5 billion to 72 billion parameters. This allows developers and organizations to select a model that best fits their specific application requirements and available computational resources.
Which teams would benefit most from using Qwen3.5?
Qwen3.5 is particularly well-suited for developers, researchers, and organizations seeking a powerful and flexible foundation model for AI applications. Its open-source nature supports customization and integration into a wide range of projects.
How does Qwen3.5 compare to Google Gemini?
Qwen3.5 is an open-source large language model developed by Alibaba Cloud, offering enhanced performance in reasoning, coding, and mathematical problem-solving. Unlike proprietary models, its open-source nature allows for free access and customization for development and research.
Can Qwen3.5 process different types of data beyond text?
Yes, Qwen3.5 introduces multimodal capabilities, enabling it to process and understand various types of data. This expands its utility beyond traditional natural language processing tasks.
How is Qwen3.5 priced?
Qwen3.5 is free to use, making it accessible for development and research without requiring a paid plan. Its open-source nature promotes innovation and widespread adoption.
What kind of AI applications can Qwen3.5 be used for?
Qwen3.5 can be applied to a wide range of AI applications, from natural language processing tasks to more complex AI solutions. Its enhanced performance in reasoning, coding, and mathematical problem-solving makes it suitable for demanding AI workloads.
Does Qwen3.5 offer flexibility for different computational environments?
Yes, Qwen3.5 comes in multiple model sizes, from 0.5 billion to 72 billion parameters. This versatility allows it to be deployed effectively across various computational environments and application scales.
Source: qwen.ai