Qwen3 VL 4B

Qwen3 VL 4B (Reasoning) was released on October 14, 2025.

Qwen3 VL 4B (Reasoning) was created by Alibaba.

Qwen3 VL 4B (Reasoning) scores 8 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 4).

Yes, Qwen3 VL 4B (Reasoning) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.

Qwen3 VL 4B (Reasoning) supports text and image input.

Qwen3 VL 4B (Reasoning) supports text output.

Yes, Qwen3 VL 4B (Reasoning) supports image input and can analyze, describe, and answer questions about images.

Yes, Qwen3 VL 4B (Reasoning) is multimodal. It can process text and image input and generate text output.

Qwen3 VL 4B (Reasoning) has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.

Yes, Qwen3 VL 4B (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.

Qwen3 VL 4B (Reasoning) has 4.44 billion parameters.

Qwen3 VL 4B (Reasoning) is released under the Apache 2.0 license. This license allows commercial use.

Qwen3 VL 4B (Reasoning) achieves a score of 8 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Qwen3 VL 4B (Reasoning) is an open weights model that can be self-hosted.

Qwen3 VL 4B (Reasoning) is an open weights model that can be downloaded and self-hosted.