Qwen3.5-2B is a small yet powerful 2 billion parameter multimodal model from the Qwen series, optimized by Unsloth. It supports both text and vision inputs, making it suitable for on-device or resource-constrained applications. The model balances performance and efficiency for various language and vision-language tasks.
Qwen3.5 2B sits in PulseGate's Foundation models & chat category. It focuses on running a capable multimodal language model with only 2 billion parameters. It is built as an open-source project for developers. Qwen3.5 2B is open source under the Open Source license. It runs on the web, the command line, and API.
Unsloth builds and maintains Qwen3.5 2B, and the product first shipped in 2025. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include vision support, multimodal input, and efficient size.
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