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Creator of the Qwen-VL vision-language model family. Qwen3-VL 8B offers strong multilingual OCR with a 262K context window.
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition and spatial understanding.
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use, including VQA, document parsing, chart and table extraction, and multilingual OCR. The series emphasizes robust perception, including recognition of diverse real-world and synthetic categories, spatial understanding through 2D/3D grounding, and long-form visual comprehension.
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba and the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization.
Qwen/Qwen3-VL-235B-A22B-Instruct — OCR-capable vision model.
Qwen/Qwen2.5-VL-32B-Instruct — OCR-capable vision model.
Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception of real-world and synthetic categories, 2D/3D spatial grounding, and long-form visual comprehension, achieving competitive multimodal benchmark results. For agentic use, it handles multi-image, multi-turn instructions, video timeline alignments, and GUI automation.
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture.
Qwen/Qwen3-VL-30B-A3B-Instruct — OCR-capable vision model.
Qwen3.6 Flash is a fast, efficient language model from Alibaba’s Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Its pricing is tiered.
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities, accepting text, image, and video inputs.
Qwen3.7-Plus is a cost-effective model in Alibaba’s Qwen3.7 series. It supports text and image input with text output and builds on the series’ text capabilities.
Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks. It features flexible thinking.
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba’s Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text.
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba’s Qwen team, served as a separate SKU at a higher price point. Its accepted modalities are text, image, and video.
Qwen3.8 Max is the flagship model in Alibaba’s Qwen3.8 series and the general-availability successor to Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning and visual understanding.