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Model details

Qwen3-VL Plus

Qwen3-VL Plus is Alibaba Cloud's premium vision-language model designed for tasks that demand deep visual reasoning alongside language understanding. As the highest-performing variant in the Qwen3-VL family, it leverages architectural innovations including Interleaved MRoPE for spatial-temporal modeling and DeepStack for multi-level visual feature fusion. Unlike simple image captioning models, this system parses dense text within documents, interprets complex charts and tables, understands relationships between objects, and can reason across multiple images in a single conversation. The 262K token context window supports handling long documents, multi-image sessions, and rich conversational history without truncation, making it suitable for detailed document analysis or visual question answering at scale.

The model extends beyond static image understanding to support both text-only and multimodal inputs through an OpenAI-compatible API on Alibaba Cloud's DashScope infrastructure, allowing drop-in integration for applications already using vision-capable LLMs. It includes chain-of-thought reasoning for complex visual tasks, native function calling for agentic multimodal workflows, structured output generation in JSON and other formats, and context caching for efficiency. Supporting 33 languages broadens its applicability across global use cases. This positions the Plus tier as the more capable alternative within the Qwen3-VL series, offering stronger image comprehension and document analysis compared to its siblings while maintaining the Qwen family's reasoning, coding, and tool-call strengths.

Alibaba (China)qwen3-vl-plusqwen

Quick Info

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Provider
Alibaba (China)
Model key
qwen3-vl-plus
Release date
Sep 23, 2025
Last updated
Sep 23, 2025
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.143353
Output token cost
$1.433525

Limits

Output tokens
32,768 tokens
Context window
262,144 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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