Qwen3-VL-4B-Instruct
Qwen3-VL-4B-Instruct is an AI model published by 阿里巴巴, released on 2025-10-15, for Multimodal model, with 40.0B parameters, and 256K tokens context length, requiring about 8.89 GB storage, under the Apache 2.0 license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Qwen3-VL-4B-Instruct currently shows benchmark results led by DocVQA (3 / 5, score 95.30), MMMU (25 / 28, score 67.40). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Qwen3-VL-4B-Instruct is an AI model published by 阿里巴巴, released on 2025-10-15, for Multimodal model, with 40.0B parameters, and 256K tokens context length, requiring about 8.89 GB storage, under the Apache 2.0 license.
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